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Zhang H, Ren M, Wang Y, Qin H. A high-efficient excitation-detection thermoacoustic imaging probe for breast tumor detection. Med Phys 2023; 50:1670-1679. [PMID: 36542398 DOI: 10.1002/mp.16179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/25/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Microwave-induced thermoacoustic (TA) imaging (MTAI) is a promising alternative to biomedical imaging due to its high resolution, deep imaging depth, and minimal biohazard. To provide images of different anatomical regions and apply them to different clinical scenarios, the development of miniaturized portable TA probes is imperative. PURPOSE This study is aimed to propose a highly efficient handheld non-reflective microwave-acoustic coaxial TA probe to advance the translation of MTAI for the clinical use. METHODS The TA probe integrates a hollowed microwave antenna with a forward radiating uniform microwave field and a linear ultrasonic transducer array which is placed in the hole in the middle of the antenna that has almost no effect on the microwave distribution. The integrated probe was evaluated for properties, including the excitation efficiency of the microwave and the reception efficiency of the acoustic signal. Finally, an isolated EMT6 cell tumor was embedded in a sheep mammary gland to simulate the natural breast tumor environment, and the tumor was detected with the proposed MTAI probe to evaluate its practical feasibility. RESULTS Compared with the previous TA imaging probe, it has improved the detection efficiency of TA signals by up to 41%, contributing to an improved signal-to-noise ratio (SNR) of the image. The proposed TA probe successfully detected tumors embedded in the breast with a contrast ratio 3.27 times higher than the surrounding tissue in phantom experiments. CONCLUSION The proposed TA probe with the features of microwave illumination and ultrasonic detection of coaxial, avoiding TA signal attenuation due to reflection, enables high-efficient TA signal excitation and detection. The proposed TA probe is essential for improving the excitation and detection efficiency of TA signals, and increasing the flexibility of the probe, providing a bright future for the clinical application of MTAI technology.
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Affiliation(s)
- Huimin Zhang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangzhou Key Laboratory of Spectral Analysis and Functional Probes, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Mingyang Ren
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangzhou Key Laboratory of Spectral Analysis and Functional Probes, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Yu Wang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangzhou Key Laboratory of Spectral Analysis and Functional Probes, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Huan Qin
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangzhou Key Laboratory of Spectral Analysis and Functional Probes, College of Biophotonics, South China Normal University, Guangzhou, China
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Ren M, Cheng Z, Wu L, Zhang H, Zhang S, Chen X, Xing D, Qin H. Portable Microwave-Acoustic Coaxial Thermoacoustic Probe With Miniaturized Vivaldi Antennas for Breast Tumor Screening. IEEE Trans Biomed Eng 2023; 70:175-181. [PMID: 35767494 DOI: 10.1109/tbme.2022.3187153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Microwave-induced thermoacoustic (TA) imaging (MTAI), which exploits dielectric contrasts to provide images with high contrast and spatial resolution, holds the potential to serve as an additional means of clinical diagnosis and treatment. However, conventional MTAI usually uses large and heavy metal antennas to radiate pulsed microwaves, making it challenging to image different target areas flexibly. In this work, we presented the design and evaluation of a portable microwave-acoustic coaxial TA probe (51 mm × 63 mm × 138 mm) that can flexibly image the region of interest. The TA probe contains two miniaturized symmetrically distributed Vivaldi antennas (7.5 g) and a 128-element linear ultrasonic transducer. By adjusting the geometry of the antennas and the ultrasonic transducer, the TA probe's acoustic field and microwave field can be designed to be coaxial, which helps achieve homogeneous microwave illumination and high-sensitivity ultrasonic detection. The practical feasibility of the proposed probe was tested on an in vitro ewe breast and a healthy volunteer. The results demonstrate that the MTAI system with the proposed TA probe can visualize the anatomical structure of the breast tumor in ewe breast and a healthy volunteer breast with resolutions in hundreds of microns (transverse: 910 μm, axial: 780 μm) and an excellent signal-to-noise ratio can be obtained in deep adipose tissue (10 dB in 6 cm fat). The miniaturized portable TA probe takes a solid step forward in translating MTAI technology to clinical breast tumor diagnosis.
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Farnia P, Makkiabadi B, Alimohamadi M, Najafzadeh E, Basij M, Yan Y, Mehrmohammadi M, Ahmadian A. Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift. SENSORS 2022; 22:s22062399. [PMID: 35336570 PMCID: PMC8954240 DOI: 10.3390/s22062399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/16/2021] [Accepted: 11/18/2021] [Indexed: 12/13/2022]
Abstract
Brain shift is an important obstacle to the application of image guidance during neurosurgical interventions. There has been a growing interest in intra-operative imaging to update the image-guided surgery systems. However, due to the innate limitations of the current imaging modalities, accurate brain shift compensation continues to be a challenging task. In this study, the application of intra-operative photoacoustic imaging and registration of the intra-operative photoacoustic with pre-operative MR images are proposed to compensate for brain deformation. Finding a satisfactory registration method is challenging due to the unpredictable nature of brain deformation. In this study, the co-sparse analysis model is proposed for photoacoustic-MR image registration, which can capture the interdependency of the two modalities. The proposed algorithm works based on the minimization of mapping transform via a pair of analysis operators that are learned by the alternating direction method of multipliers. The method was evaluated using an experimental phantom and ex vivo data obtained from a mouse brain. The results of the phantom data show about 63% improvement in target registration error in comparison with the commonly used normalized mutual information method. The results proved that intra-operative photoacoustic images could become a promising tool when the brain shift invalidates pre-operative MRI.
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Affiliation(s)
- Parastoo Farnia
- Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran 1417653761, Iran; (P.F.); (B.M.); (E.N.)
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences (TUMS), Tehran 1419733141, Iran
| | - Bahador Makkiabadi
- Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran 1417653761, Iran; (P.F.); (B.M.); (E.N.)
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences (TUMS), Tehran 1419733141, Iran
| | - Maysam Alimohamadi
- Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences (TUMS), Tehran 1419733141, Iran;
| | - Ebrahim Najafzadeh
- Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran 1417653761, Iran; (P.F.); (B.M.); (E.N.)
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences (TUMS), Tehran 1419733141, Iran
| | - Maryam Basij
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA; (M.B.); (Y.Y.)
| | - Yan Yan
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA; (M.B.); (Y.Y.)
| | - Mohammad Mehrmohammadi
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA; (M.B.); (Y.Y.)
- Barbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA
- Correspondence: (M.M.); (A.A.)
| | - Alireza Ahmadian
- Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran 1417653761, Iran; (P.F.); (B.M.); (E.N.)
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences (TUMS), Tehran 1419733141, Iran
- Correspondence: (M.M.); (A.A.)
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Cheng Z, Wu L, Qiu T, Duan Y, Qin H, Hu J, Yang S. An Excitation-Reception Collinear Probe for Ultrasonic, Photoacoustic, and Thermoacoustic Tri-Modal Volumetric Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:3498-3506. [PMID: 34125673 DOI: 10.1109/tmi.2021.3089243] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Imaging systems that integrate multiple modalities can reveal complementary anatomic and functional information as they exploit different contrast mechanisms, which have shown great application potential and advantages in preclinical studies. A portable and easy-to-use imaging probe will be more conducive to transfer to clinical practice. Here, we present a tri-modal ultrasonic (US), photoacoustic (PA), and thermoacoustic (TA) imaging system with an excitation-reception collinear probe. The acoustic field, light field, and electric field of the probe were designed to be coaxial, realizing homogeneous illumination and high-sensitivity detection at the same detection position. US images can provide detailed information about structures, PA images can delineate the morphology of blood vessels in tissues, and TA images can reveal dielectric properties of the tissues. Moreover, phantoms and in vivo human finger experiments were performed by the tri-modal imaging system to demonstrate its performance. The results show that the tri-modal imaging system with the proposed probe has the ability to detect small breast tumors with a radius of only 2.5 mm and visualize the anatomical structure of the finger in three dimensions. Our work confirms that the tri-modal imaging system equipped with a collinear probe can be applied to a variety of different scenarios, which lays a solid foundation for the application of the tri-modality system in clinical trials.
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Wang H, Zheng Y, Sun Q, Zhang Z, Zhao M, Peng C, Shi S. Ginsenosides emerging as both bifunctional drugs and nanocarriers for enhanced antitumor therapies. J Nanobiotechnology 2021; 19:322. [PMID: 34654430 PMCID: PMC8518152 DOI: 10.1186/s12951-021-01062-5] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 09/28/2021] [Indexed: 12/12/2022] Open
Abstract
Ginsenosides, the main components isolated from Panax ginseng, can play a therapeutic role by inducing tumor cell apoptosis and reducing proliferation, invasion, metastasis; by enhancing immune regulation; and by reversing tumor cell multidrug resistance. However, clinical applications have been limited because of ginsenosides' physical and chemical properties such as low solubility and poor stability, as well as their short half-life, easy elimination, degradation, and other pharmacokinetic properties in vivo. In recent years, developing a ginsenoside delivery system for bifunctional drugs or carriers has attracted much attention from researchers. To create a precise treatment strategy for cancer, a variety of nano delivery systems and preparation technologies based on ginsenosides have been conducted (e.g., polymer nanoparticles [NPs], liposomes, micelles, microemulsions, protein NPs, metals and inorganic NPs, biomimetic NPs). It is desirable to design a targeted delivery system to achieve antitumor efficacy that can not only cross various barriers but also can enhance immune regulation, eventually converting to a clinical application. Therefore, this review focused on the latest research about delivery systems encapsulated or modified with ginsenosides, and unification of medicines and excipients based on ginsenosides for improving drug bioavailability and targeting ability. In addition, challenges and new treatment methods were discussed to support the development of these new tumor therapeutic agents for use in clinical treatment.
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Affiliation(s)
- Hong Wang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Yu Zheng
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Qiang Sun
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Zhen Zhang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Mengnan Zhao
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Cheng Peng
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Sanjun Shi
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
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Lan H, Jiang D, Gao F, Gao F. Deep learning enabled real-time photoacoustic tomography system via single data acquisition channel. PHOTOACOUSTICS 2021; 22:100270. [PMID: 34026492 PMCID: PMC8122165 DOI: 10.1016/j.pacs.2021.100270] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 05/02/2023]
Abstract
Photoacoustic computed tomography (PACT) combines the optical contrast of optical imaging and the penetrability of sonography. In this work, we develop a novel PACT system to provide real-time imaging, which is achieved by a 120-elements ultrasound array only using a single data acquisition (DAQ) channel. To reduce the channel number of DAQ, we superimpose 30 nearby channels' signals together in the analog domain, and shrinking to 4 channels of data (120/30 = 4). Furthermore, a four-to-one delay-line module is designed to combine these four channels' data into one channel before entering the single-channel DAQ, followed by decoupling the signals after data acquisition. To reconstruct the image from four superimposed 30-channels' PA signals, we train a dedicated deep learning model to reconstruct the final PA image. In this paper, we present the preliminary results of phantom and in-vivo experiments, which manifests its robust real-time imaging performance. The significance of this novel PACT system is that it dramatically reduces the cost of multi-channel DAQ module (from 120 channels to 1 channel), paving the way to a portable, low-cost and real-time PACT system.
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Affiliation(s)
- Hengrong Lan
- Hybrid Imaging System Laboratory, Shanghai Engineering Research Center of Intelligent Vision and Imaging, School of Information Science and Technology, ShanghaiTech University, Shanghai, 201210, China
- Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, 200050, China
| | - Daohuai Jiang
- Hybrid Imaging System Laboratory, Shanghai Engineering Research Center of Intelligent Vision and Imaging, School of Information Science and Technology, ShanghaiTech University, Shanghai, 201210, China
- Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, 200050, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Feng Gao
- Hybrid Imaging System Laboratory, Shanghai Engineering Research Center of Intelligent Vision and Imaging, School of Information Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Fei Gao
- Hybrid Imaging System Laboratory, Shanghai Engineering Research Center of Intelligent Vision and Imaging, School of Information Science and Technology, ShanghaiTech University, Shanghai, 201210, China
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Wang X, Huang L, Chi Z, Jiang H. Integrated thermoacoustic and ultrasound imaging based on the combination of a hollow concave transducer array and a linear transducer array. Phys Med Biol 2021; 66. [PMID: 34014177 DOI: 10.1088/1361-6560/abfc91] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 04/28/2021] [Indexed: 11/11/2022]
Abstract
To integrate the high resolution of ultrasound imaging (UI) and the high tissue specificity of thermoacoustic imaging (TAI) and to achieve an easy and precise co-registration of the two different imaging modalities, we present and demonstrate a hybrid thermoacoustic and ultrasound (TA/US) imaging system based on the combination of a novel hollow concave array and a commercial linear array. This TA/US imaging system can provide enhanced imaging of both tissues' mechanical and dielectric properties. We verified the effective imaging performance of the hybrid TA/US system using tissue phantom experiments.In vivoTA/US imaging of the wrist and foot in healthy volunteers was also demonstrated using the hybrid system. This hollow concave array provided enhanced imaging performance for TAI because of its wide angular coverage with an optimal center frequency, showing a large effective imaging field of view (FOV) and improved images with high contrast and superior quality. Compared with stand-alone UI or TAI, the hybrid TA/US imaging presented more complete tissue anatomical structures, like skin, muscles, tendons, blood vessels, and bones for possible human disease diagnosis, although the US image quality using the hybrid system was slightly lower because the distance between the tissue and commercial ultrasound array was not ideal. This study suggests that the hybrid TA/US imaging approach has the potential to become a clinical tool for diagnosis of diseases in the wrist and foot.
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Affiliation(s)
- Xue Wang
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.,Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Lin Huang
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.,Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Zihui Chi
- School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, People's Republic of China
| | - Huabei Jiang
- Department of Medical Engineering, University of South Florida, Tampa, FL 33620, United States of America
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Awasthi N, Kumar Kalva S, Pramanik M, Yalavarthy PK. Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data. BIOMEDICAL OPTICS EXPRESS 2021; 12:1320-1338. [PMID: 33796356 PMCID: PMC7984800 DOI: 10.1364/boe.415182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/23/2021] [Accepted: 01/23/2021] [Indexed: 05/03/2023]
Abstract
The reconstruction methods for solving the ill-posed inverse problem of photoacoustic tomography with limited noisy data are iterative in nature to provide accurate solutions. These methods performance is highly affected by the noise level in the photoacoustic data. A singular value decomposition (SVD) based plug and play priors method for solving photoacoustic inverse problem was proposed in this work to provide robustness to noise in the data. The method was shown to be superior as compared to total variation regularization, basis pursuit deconvolution and Lanczos Tikhonov based regularization and provided improved performance in case of noisy data. The numerical and experimental cases show that the improvement can be as high as 8.1 dB in signal to noise ratio of the reconstructed image and 67.98% in root mean square error in comparison to the state of the art methods.
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Affiliation(s)
- Navchetan Awasthi
- Department of Computational and Data Sciences, Indian Institute of Science, Bangalore 560012, India
| | - Sandeep Kumar Kalva
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 637459, Singapore
| | - Manojit Pramanik
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 637459, Singapore
| | - Phaneendra K. Yalavarthy
- Department of Computational and Data Sciences, Indian Institute of Science, Bangalore 560012, India
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Das D, Sharma A, Rajendran P, Pramanik M. Another decade of photoacoustic imaging. Phys Med Biol 2020; 66. [PMID: 33361580 DOI: 10.1088/1361-6560/abd669] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 12/23/2020] [Indexed: 01/09/2023]
Abstract
Photoacoustic imaging - a hybrid biomedical imaging modality finding its way to clinical practices. Although the photoacoustic phenomenon was known more than a century back, only in the last two decades it has been widely researched and used for biomedical imaging applications. In this review we focus on the development and progress of the technology in the last decade (2010-2020). From becoming more and more user friendly, cheaper in cost, portable in size, photoacoustic imaging promises a wide range of applications, if translated to clinic. The growth of photoacoustic community is steady, and with several new directions researchers are exploring, it is inevitable that photoacoustic imaging will one day establish itself as a regular imaging system in the clinical practices.
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Affiliation(s)
- Dhiman Das
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, SINGAPORE
| | - Arunima Sharma
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, SINGAPORE
| | - Praveenbalaji Rajendran
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, SINGAPORE
| | - Manojit Pramanik
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 70 Nanyang Drive, N1.3-B2-11, Singapore, 637457, SINGAPORE
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Li M, Nyayapathi N, Kilian HI, Xia J, Lovell JF, Yao J. Sound Out the Deep Colors: Photoacoustic Molecular Imaging at New Depths. Mol Imaging 2020; 19:1536012120981518. [PMID: 33336621 PMCID: PMC7750763 DOI: 10.1177/1536012120981518] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Photoacoustic tomography (PAT) has become increasingly popular for molecular imaging due to its unique optical absorption contrast, high spatial resolution, deep imaging depth, and high imaging speed. Yet, the strong optical attenuation of biological tissues has traditionally prevented PAT from penetrating more than a few centimeters and limited its application for studying deeply seated targets. A variety of PAT technologies have been developed to extend the imaging depth, including employing deep-penetrating microwaves and X-ray photons as excitation sources, delivering the light to the inside of the organ, reshaping the light wavefront to better focus into scattering medium, as well as improving the sensitivity of ultrasonic transducers. At the same time, novel optical fluence mapping algorithms and image reconstruction methods have been developed to improve the quantitative accuracy of PAT, which is crucial to recover weak molecular signals at larger depths. The development of highly-absorbing near-infrared PA molecular probes has also flourished to provide high sensitivity and specificity in studying cellular processes. This review aims to introduce the recent developments in deep PA molecular imaging, including novel imaging systems, image processing methods and molecular probes, as well as their representative biomedical applications. Existing challenges and future directions are also discussed.
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Affiliation(s)
- Mucong Li
- Department of Biomedical Engineering, 3065Duke University, Durham, NC, USA
| | - Nikhila Nyayapathi
- Department of Biomedical Engineering, 12292University of Buffalo, NY, USA
| | - Hailey I Kilian
- Department of Biomedical Engineering, 12292University of Buffalo, NY, USA
| | - Jun Xia
- Department of Biomedical Engineering, 12292University of Buffalo, NY, USA
| | - Jonathan F Lovell
- Department of Biomedical Engineering, 12292University of Buffalo, NY, USA
| | - Junjie Yao
- Department of Biomedical Engineering, 3065Duke University, Durham, NC, USA
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Awasthi N, Jain G, Kalva SK, Pramanik M, Yalavarthy PK. Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2020; 67:2660-2673. [PMID: 32142429 DOI: 10.1109/tuffc.2020.2977210] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical contrast at ultrasonic resolution. Analytical reconstruction algorithms for photoacoustic (PA) signals require a large number of data points for accurate image reconstruction. However, in practical scenarios, data are collected using the limited number of transducers along with data being often corrupted with noise resulting in only qualitative images. Furthermore, the collected boundary data are band-limited due to limited bandwidth (BW) of the transducer, making the PA imaging with limited data being qualitative. In this work, a deep neural network-based model with loss function being scaled root-mean-squared error was proposed for super-resolution, denoising, as well as BW enhancement of the PA signals collected at the boundary of the domain. The proposed network has been compared with traditional as well as other popular deep-learning methods in numerical as well as experimental cases and is shown to improve the collected boundary data, in turn, providing superior quality reconstructed PA image. The improvement obtained in the Pearson correlation, structural similarity index metric, and root-mean-square error was as high as 35.62%, 33.81%, and 41.07%, respectively, for phantom cases and signal-to-noise ratio improvement in the reconstructed PA images was as high as 11.65 dB for in vivo cases compared with reconstructed image obtained using original limited BW data. Code is available at https://sites.google.com/site/sercmig/home/dnnpat.
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Rahpeima R, Soltani M, Moradi Kashkooli F. Numerical study of microwave induced thermoacoustic imaging for initial detection of cancer of breast on anatomically realistic breast phantom. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2020; 196:105606. [PMID: 32585474 DOI: 10.1016/j.cmpb.2020.105606] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 06/06/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND AND OBJECTIVE Microwave-induced thermoacoustic imaging (MITAI) represents an innovative imaging approach for detection of breast cancer at initial phases by integrating the benefits provided by procedures of microwave and ultrasound imaging. The present investigation examines an innovative three-dimensional numerical modeling of MITAI as a problem with multi-physics nature. METHODS Simulations are performed by the use of COMSOL software. An anatomically realistic breast phantom representing various parts of a real breast, such as three different types of tissue, fibro-connective/glandular, transitional; and fatty, is taken into consideration along with a tumor. This breast phantom with a tumor is irradiated by a 2.45 GHz pulsed rectangular waveguide. The temperature increase and its consequent pressure caused by electromagnetic absorption are analyzed. RESULTS More temperature increase occurs in the tumor area than in the other parts of the breast, the fact which results in further increase in the pressure in the tumor area than other parts. This makes the tumor distinguishable. The ability of the MITAI process regarding the tumor size, shape (both geometrical shape and spatial orientation), location, the irradiation power level, and the pulse width is also investigated. It is demonstrated that tumor size does not have a significant impact on the efficiency of detection. In fact, very small tumors in the early stages of cancer development (with a radius of 0.25 cm) are also detectable by employing the MITAI technique. The geometrical shape of the tumor does not considerably affect the detecting performance just by itself. The spatial orientation of the tumor actually has a great impact on it. The location of the tumor is an essential factor involved in detection efficiency of MITAI. Tumors located in the fatty tissues would be much easier to be detected than those in the glandular tissues. Moreover, results denote that with augmentation of the irradiation power level or increasing the pulse width, stronger acoustic waves would be produced to make tumor detection easier. CONCLUSION These modeling and techniques may be applied aiming for determination of the amount of the generated pressure differences and acoustic pressure magnitude, and can be utilized as an effective prognosticator in practical tests.
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Affiliation(s)
- Reza Rahpeima
- Department of Aerospace Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran; Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, Ontario, Canada.
| | - Farshad Moradi Kashkooli
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada
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Evaluation of multi-wavelengths LED-based photoacoustic imaging for maximum safe resection of glioma: a proof of concept study. Int J Comput Assist Radiol Surg 2020; 15:1053-1062. [PMID: 32451814 DOI: 10.1007/s11548-020-02191-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 04/28/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE A real-time intra-operative imaging modality is required to update the navigation systems during neurosurgery, since precise localization and safe maximal resection of gliomas are of utmost clinical importance. Different intra-operative imaging modalities have been proposed to delineate the resection borders, each with advantages and disadvantages. This preliminary study was designed to simulate the photoacoustic imaging (PAI) to illustrate the brain tumor margin vessels for safe maximal resection of glioma. METHODS In this study, light emitting diode (LED)-based PAI was selected because of its lower cost, compact size and ease of use. We developed a simulation framework based on multi-wavelength LED-based PAI to further facilitate PAI during neurosurgery. This framework considers a multilayer model of the tumoral and normal brain tissue. The simulation of the optical fluence and absorption map in tissue at different depths was computed by Monte Carlo. Then, the propagation of initial photoacoustic pressure was simulated by using k-wave toolbox. RESULTS To evaluate the LED-based PAI, we used three evaluation criteria: signal-to-noise ratio (SNR), contrast ratio (CR) and full width of half maximum (FWHM). Results showed that by using proper wavelengths, the vessels were recovered with the same axial and lateral FWHM. Furthermore, by increasing the wavelength from 532 to 1064 nm, SNR and CR were increased in the deep region. The results showed that vessels with larger diameters at same wavelength have a higher CR with average improvement 28%. CONCLUSION Multi-wavelength LED-based PAI provides detailed images of the blood vessels which are crucial for detection of the residual glioma: The longer wavelengths like 1064 nm can be used for the deeper tumor margins, and the shorter wavelengths like 532 nm for tumor margins closer to the surface. LED-based PAI may be considered as a promising intra-operative imaging modality to delineate tumor margins.
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14
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Farnia P, Najafzadeh E, Hariri A, Lavasani SN, Makkiabadi B, Ahmadian A, Jokerst JV. Dictionary learning technique enhances signal in LED-based photoacoustic imaging. BIOMEDICAL OPTICS EXPRESS 2020; 11:2533-2547. [PMID: 32499941 PMCID: PMC7249823 DOI: 10.1364/boe.387364] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/18/2020] [Accepted: 03/18/2020] [Indexed: 05/12/2023]
Abstract
There has been growing interest in low-cost light sources such as light-emitting diodes (LEDs) as an excitation source in photoacoustic imaging. However, LED-based photoacoustic imaging is limited by low signal due to low energy per pulse-the signal is easily buried in noise leading to low quality images. Here, we describe a signal de-noising approach for LED-based photoacoustic signals based on dictionary learning with an alternating direction method of multipliers. This signal enhancement method is then followed by a simple reconstruction approach delay and sum. This approach leads to sparse representation of the main components of the signal. The main improvements of this approach are a 38% higher contrast ratio and a 43% higher axial resolution versus the averaging method but with only 4% of the frames and consequently 49.5% less computational time. This makes it an appropriate option for real-time LED-based photoacoustic imaging.
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Affiliation(s)
- Parastoo Farnia
- Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- These authors contributed equally to this paper
| | - Ebrahim Najafzadeh
- Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- These authors contributed equally to this paper
| | - Ali Hariri
- Department of Nano Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92092, USA
| | - Saeedeh Navaei Lavasani
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Department of Biomedical Engineering and Medical Physics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bahador Makkiabadi
- Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Ahmadian
- Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
- Research Centre of Biomedical Technology and Robotics (RCBTR), Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Jesse V. Jokerst
- Department of Nano Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92092, USA
- Materials Science and Engineering Program, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92092, USA
- Department of Radiology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92092, USA
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15
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Maneas E, Aughwane R, Huynh N, Xia W, Ansari R, Kuniyil Ajith Singh M, Hutchinson JC, Sebire NJ, Arthurs OJ, Deprest J, Ourselin S, Beard PC, Melbourne A, Vercauteren T, David AL, Desjardins AE. Photoacoustic imaging of the human placental vasculature. JOURNAL OF BIOPHOTONICS 2020; 13:e201900167. [PMID: 31661594 PMCID: PMC8425327 DOI: 10.1002/jbio.201900167] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 09/02/2019] [Accepted: 10/03/2019] [Indexed: 05/06/2023]
Abstract
Minimally invasive fetal interventions require accurate imaging from inside the uterine cavity. Twin-to-twin transfusion syndrome (TTTS), a condition considered in this study, occurs from abnormal vascular anastomoses in the placenta that allow blood to flow unevenly between the fetuses. Currently, TTTS is treated fetoscopically by identifying the anastomosing vessels, and then performing laser photocoagulation. However, white light fetoscopy provides limited visibility of placental vasculature, which can lead to missed anastomoses or incomplete photocoagulation. Photoacoustic (PA) imaging is an alternative imaging method that provides contrast for hemoglobin, and in this study, two PA systems were used to visualize chorionic (fetal) superficial and subsurface vasculature in human placentas. The first system comprised an optical parametric oscillator for PA excitation and a 2D Fabry-Pérot cavity ultrasound sensor; the second, light emitting diode arrays and a 1D clinical linear-array ultrasound imaging probe. Volumetric photoacoustic images were acquired from ex vivo normal term and TTTS-treated placentas. It was shown that superficial and subsurface branching blood vessels could be visualized to depths of approximately 7 mm, and that ablated tissue yielded negative image contrast. This study demonstrated the strong potential of PA imaging to guide minimally invasive fetal therapies.
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Affiliation(s)
- Efthymios Maneas
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College LondonLondonUK
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | - Rosalind Aughwane
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
- Institute for Women's Health, University College LondonLondonUK
| | - Nam Huynh
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College LondonLondonUK
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | - Wenfeng Xia
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
- School of Biomedical Engineering and Imaging Sciences, King's College LondonLondonUK
| | - Rehman Ansari
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College LondonLondonUK
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | | | - J. Ciaran Hutchinson
- NIHR Great Ormond Street Institute of Child Health Biomedical Research Centre, University College LondonLondonUK
- Department of HistopathologyGreat Ormond Street Hospital for Children NHS TrustLondonUK
| | - Neil J. Sebire
- NIHR Great Ormond Street Institute of Child Health Biomedical Research Centre, University College LondonLondonUK
- Department of HistopathologyGreat Ormond Street Hospital for Children NHS TrustLondonUK
| | - Owen J. Arthurs
- NIHR Great Ormond Street Institute of Child Health Biomedical Research Centre, University College LondonLondonUK
- Paediatric Radiology, Great Ormond Street Hospital for Children NHS TrustLondonUK
| | - Jan Deprest
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College LondonLondonUK
- Institute for Women's Health, University College LondonLondonUK
- Department of Obstetrics and GynaecologyUniversity Hospitals LeuvenLeuvenBelgium
| | - Sebastien Ourselin
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
- School of Biomedical Engineering and Imaging Sciences, King's College LondonLondonUK
| | - Paul C. Beard
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College LondonLondonUK
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | - Andrew Melbourne
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
- School of Biomedical Engineering and Imaging Sciences, King's College LondonLondonUK
| | - Tom Vercauteren
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
- School of Biomedical Engineering and Imaging Sciences, King's College LondonLondonUK
| | - Anna L. David
- Institute for Women's Health, University College LondonLondonUK
| | - Adrien E. Desjardins
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College LondonLondonUK
- Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
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16
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Abstract
Photoacoustic imaging has demonstrated its potential for diagnosis over the last few decades. In recent years, its unique imaging capabilities, such as detecting structural, functional and molecular information in deep regions with optical contrast and ultrasound resolution, have opened up many opportunities for photoacoustic imaging to be used during image-guided interventions. Numerous studies have investigated the capability of photoacoustic imaging to guide various interventions such as drug delivery, therapies, surgeries, and biopsies. These studies have demonstrated that photoacoustic imaging can guide these interventions effectively and non-invasively in real-time. In this minireview, we will elucidate the potential of photoacoustic imaging in guiding active and passive drug deliveries, photothermal therapy, and other surgeries and therapies using endogenous and exogenous contrast agents including organic, inorganic, and hybrid nanoparticles, as well as needle-based biopsy procedures. The advantages of photoacoustic imaging in guided interventions will be discussed. It will, therefore, show that photoacoustic imaging has great potential in real-time interventions due to its advantages over current imaging modalities like computed tomography, magnetic resonance imaging, and ultrasound imaging.
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Affiliation(s)
- Madhumithra S Karthikesh
- Bioengineering Program and Institute for Bioengineering Research, University of Kansas, Lawrence, KS 66045, USA
| | - Xinmai Yang
- Bioengineering Program and Institute for Bioengineering Research, University of Kansas, Lawrence, KS 66045, USA
- Department of Mechanical Engineering, University of Kansas, Lawrence, KS 66045, USA
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17
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Photoacoustic Imaging for Management of Breast Cancer: A Literature Review and Future Perspectives. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10030767] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In this review article, a detailed chronological account of the research related to photoacoustic imaging for the management of breast cancer is presented. Performing a detailed analysis of the breast cancer detection related photoacoustic imaging studies undertaken by different research groups, this review attempts to present the clinical evidence in support of using photoacoustic imaging for breast cancer detection. Based on the experimental evidence obtained from the clinical studies conducted so far, the performance of photoacoustic imaging is compared with that of conventional breast imaging modalities. While we find that there is enough experimental evidence to support the use of photoacoustic imaging for breast cancer detection, additional clinical studies are required to be performed to evaluate the diagnostic potential of photoacoustic imaging for identifying different types of breast cancer. To establish the utility of photoacoustic imaging for breast cancer screening, clinical studies with high-risk asymptomatic patients need to be done.
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18
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Manohar S, Dantuma M. Current and future trends in photoacoustic breast imaging. PHOTOACOUSTICS 2019; 16:100134. [PMID: 31871887 PMCID: PMC6909206 DOI: 10.1016/j.pacs.2019.04.004] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 02/19/2019] [Accepted: 04/10/2019] [Indexed: 05/14/2023]
Abstract
Non-invasive detection of breast cancer has been regarded as the holy grail of applications for photoacoustic (optoacoustic) imaging right from the early days of re-discovery of the method. Two-and-a-half decades later we report on the state-of-the-art in photoacoustic breast imaging technology and clinical studies. Even within the single application of breast imaging, we find imagers with various measurement geometries, ultrasound detection characteristics, illumination schemes, and image reconstruction strategies. We first analyze the implications on performance of a few of these design choices in a generic imaging system, before going into detailed descriptions of the imagers. Per imaging system we present highlights of patient studies, which barring a couple are mostly in the nature of technology demonstrations and proof-of-principle studies. We close this work with a discussion on several aspects that may turn out to be crucial for the future clinical translation of the method.
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19
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Mozaffarzadeh M, Varnosfaderani MHH, Sharma A, Pramanik M, de Jong N, Verweij MD. Enhanced contrast acoustic-resolution photoacoustic microscopy using double-stage delay-multiply-and-sum beamformer for vasculature imaging. JOURNAL OF BIOPHOTONICS 2019; 12:e201900133. [PMID: 31353839 PMCID: PMC7065614 DOI: 10.1002/jbio.201900133] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 06/14/2019] [Accepted: 07/17/2019] [Indexed: 05/18/2023]
Abstract
In acoustic-resolution photoacoustic microscopy (AR-PAM) systems, the lateral resolution in the focal zone of the ultrasound (US) transducer is determined by the numerical aperture (NA) of the transducer. To have a high lateral resolution, a large NA is used. However, the larger the NA, the smaller the depth of focus [DOF]. As a result, the lateral resolution is deteriorated at depths out of the focal region. The synthetic aperture focusing technique (SAFT) along with a beamformer can be used to improve the resolution outside the focal region. In this work, for image formation in AR-PAM, we propose the double-stage delay-multiply-and-sum (DS_DMAS) algorithm to be combined with SAFT. The proposed method is evaluated experimentally using hair targets and in vivo vasculature imaging. It is shown that DS_DMAS provides a higher resolution and contrast compared to other methods. For the B-mode images obtained using the hair phantom, the proposed method reduces the average noise level for all the depths by about 134%, 57% and 23%, compared to the original low- resolution, SAFT+DAS and SAFT+DMAS methods, respectively. All the results indicate that the proposed method can be an appropriate algorithm for image formation in AR-PAM systems.
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Affiliation(s)
- Moein Mozaffarzadeh
- Department of Imaging Physics, Laboratory of Acoustical Wavefield ImagingDelft University of TechnologyDelftThe Netherlands
| | | | - Arunima Sharma
- School of Chemical and Biomedical EngineeringNanyang Technological UniversitySingaporeSingapore
| | - Manojit Pramanik
- School of Chemical and Biomedical EngineeringNanyang Technological UniversitySingaporeSingapore
| | - Nico de Jong
- Department of Imaging Physics, Laboratory of Acoustical Wavefield ImagingDelft University of TechnologyDelftThe Netherlands
- Department Biomedical EngineeringThoraxcenter, Erasmus MCRotterdamThe Netherlands
| | - Martin D. Verweij
- Department of Imaging Physics, Laboratory of Acoustical Wavefield ImagingDelft University of TechnologyDelftThe Netherlands
- Department Biomedical EngineeringThoraxcenter, Erasmus MCRotterdamThe Netherlands
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20
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Akhlaghi N, Pfefer TJ, Wear KA, Garra BS, Vogt WC. Multidomain computational modeling of photoacoustic imaging: verification, validation, and image quality prediction. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-12. [PMID: 31705636 PMCID: PMC7005568 DOI: 10.1117/1.jbo.24.12.121910] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 10/14/2019] [Indexed: 05/05/2023]
Abstract
As photoacoustic imaging (PAI) technology matures, computational modeling will increasingly represent a critical tool for facilitating clinical translation through predictive simulation of real-world performance under a wide range of device and biological conditions. While modeling currently offers a rapid, inexpensive tool for device development and prediction of fundamental image quality metrics (e.g., spatial resolution and contrast ratio), rigorous verification and validation will be required of models used to provide regulatory-grade data that effectively complements and/or replaces in vivo testing. To address methods for establishing model credibility, we developed an integrated computational model of PAI by coupling a previously developed three-dimensional Monte Carlo model of tissue light transport with a two-dimensional (2D) acoustic wave propagation model implemented in the well-known k-Wave toolbox. We then evaluated ability of the model to predict basic image quality metrics by applying standardized verification and validation principles for computational models. The model was verified against published simulation data and validated against phantom experiments using a custom PAI system. Furthermore, we used the model to conduct a parametric study of optical and acoustic design parameters. Results suggest that computationally economical 2D acoustic models can adequately predict spatial resolution, but metrics such as signal-to-noise ratio and penetration depth were difficult to replicate due to challenges in modeling strong clutter observed in experimental images. Parametric studies provided quantitative insight into complex relationships between transducer characteristics and image quality as well as optimal selection of optical beam geometry to ensure adequate image uniformity. Multidomain PAI simulation tools provide high-quality tools to aid device development and prediction of real-world performance, but further work is needed to improve model fidelity, especially in reproducing image noise and clutter.
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Affiliation(s)
- Nima Akhlaghi
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States
- Address all correspondence to Nima Akhlaghi, E-mail:
| | - T. Joshua Pfefer
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States
| | - Keith A. Wear
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States
| | - Brian S. Garra
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States
| | - William C. Vogt
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States
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21
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Miri Rostami SR, Mozaffarzadeh M, Ghaffari-Miab M, Hariri A, Jokerst J. GPU-accelerated Double-stage Delay-multiply-and-sum Algorithm for Fast Photoacoustic Tomography Using LED Excitation and Linear Arrays. ULTRASONIC IMAGING 2019; 41:301-316. [PMID: 31322057 DOI: 10.1177/0161734619862488] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute unified device architecture (CUDA) graphics processing unit (GPU) parallel computation approach to address the high complexity of the DS-DMAS for photoacoustic image reconstruction generated from a commercial light-emitting diode (LED)-based photoacoustic scanner. In comparison with a single-threaded central processing unit (CPU), the GPU approach increased speeds by nearly 140-fold for 1024 × 1024 pixel image; there was no decrease in accuracy. The proposed implementation makes it possible to reconstruct photoacoustic images with frame rates of 250, 125, and 83.3 when the images are 64 × 64, 128 × 128, and 256 × 256, respectively. Thus, DS-DMAS can be efficiently used in clinical devices when coupled with CUDA GPU parallel computation.
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Affiliation(s)
- Seyyed Reza Miri Rostami
- 1 Computational Electromagnetics Laboratory, Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
| | - Moein Mozaffarzadeh
- 2 Laboratory of Acoustical Wavefield Imaging, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Mohsen Ghaffari-Miab
- 1 Computational Electromagnetics Laboratory, Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
| | - Ali Hariri
- 3 Department of NanoEngineering, University of California, San Diego, La Jolla, CA, USA
| | - Jesse Jokerst
- 3 Department of NanoEngineering, University of California, San Diego, La Jolla, CA, USA
- 4 Materials Science and Engineering Program, University of California, San Diego, La Jolla, CA, USA
- 5 Department of Radiology, University of California, San Diego, La Jolla, CA, USA
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22
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Steinberg I, Huland DM, Vermesh O, Frostig HE, Tummers WS, Gambhir SS. Photoacoustic clinical imaging. PHOTOACOUSTICS 2019; 14:77-98. [PMID: 31293884 PMCID: PMC6595011 DOI: 10.1016/j.pacs.2019.05.001] [Citation(s) in RCA: 323] [Impact Index Per Article: 53.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 04/09/2019] [Accepted: 05/30/2019] [Indexed: 05/18/2023]
Abstract
Photoacoustic is an emerging biomedical imaging modality, which allows imaging optical absorbers in the tissue by acoustic detectors (light in - sound out). Such a technique has an immense potential for clinical translation since it allows high resolution, sufficient imaging depth, with diverse endogenous and exogenous contrast, and is free from ionizing radiation. In recent years, tremendous developments in both the instrumentation and imaging agents have been achieved. These opened avenues for clinical imaging of various sites allowed applications such as brain functional imaging, breast cancer screening, diagnosis of psoriasis and skin lesions, biopsy and surgery guidance, the guidance of tumor therapies at the reproductive and urological systems, as well as imaging tumor metastases at the sentinel lymph nodes. Here we survey the various clinical and pre-clinical literature and discuss the potential applications and hurdles that still need to be overcome.
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Affiliation(s)
- Idan Steinberg
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Bioengineering, At Stanford University, School of Medicine, Stanford, CA, United States
| | - David M. Huland
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Ophir Vermesh
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Hadas E. Frostig
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Willemieke S. Tummers
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Sanjiv S. Gambhir
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Bioengineering, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Materials Science & Engineering, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
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23
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Awasthi N, Prabhakar KR, Kalva SK, Pramanik M, Babu RV, Yalavarthy PK. PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics. BIOMEDICAL OPTICS EXPRESS 2019; 10:2227-2243. [PMID: 31149371 PMCID: PMC6524595 DOI: 10.1364/boe.10.002227] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/15/2019] [Accepted: 03/20/2019] [Indexed: 05/11/2023]
Abstract
The methods available for solving the inverse problem of photoacoustic tomography promote only one feature-either being smooth or sharp-in the resultant image. The fusion of photoacoustic images reconstructed from distinct methods improves the individually reconstructed images, with the guided filter based approach being state-of-the-art, which requires that implicit regularization parameters are chosen. In this work, a deep fusion method based on convolutional neural networks has been proposed as an alternative to the guided filter based approach. It has the combined benefit of using less data for training without the need for the careful choice of any parameters and is a fully data-driven approach. The proposed deep fusion approach outperformed the contemporary fusion method, which was proved using experimental, numerical phantoms and in-vivo studies. The improvement obtained in the reconstructed images was as high as 95.49% in root mean square error and 7.77 dB in signal to noise ratio (SNR) in comparison to the guided filter approach. Also, it was demonstrated that the proposed deep fuse approach, trained on only blood vessel type images at measurement data SNR being 40 dB, was able to provide a generalization that can work across various noise levels in the measurement data, experimental set-ups as well as imaging objects.
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Affiliation(s)
- Navchetan Awasthi
- Indian Institute of Science, Department of Computational and Data Sciences, Bangalore,
India
| | - K. Ram Prabhakar
- Indian Institute of Science, Department of Computational and Data Sciences, Bangalore,
India
| | - Sandeep Kumar Kalva
- Nanyang Technological University, School of Chemical and Biomedical Engineering, 637459,
Singapore
| | - Manojit Pramanik
- Nanyang Technological University, School of Chemical and Biomedical Engineering, 637459,
Singapore
| | - R. Venkatesh Babu
- Indian Institute of Science, Department of Computational and Data Sciences, Bangalore,
India
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24
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Abstract
Fuelled by innovation, optical microscopy plays a critical role in the life sciences and medicine, from basic discovery to clinical diagnostics. However, optical microscopy is limited by typical penetration depths of a few hundred micrometres for in vivo interrogations in the visible spectrum. Optoacoustic microscopy complements optical microscopy by imaging the absorption of light, but it is similarly limited by penetration depth. In this Review, we summarize progress in the development and applicability of optoacoustic mesoscopy (OPAM); that is, optoacoustic imaging with acoustic resolution and wide-bandwidth ultrasound detection. OPAM extends the capabilities of optical imaging beyond the depths accessible to optical and optoacoustic microscopy, and thus enables new applications. We explain the operational principles of OPAM, its placement as a bridge between optoacoustic microscopy and optoacoustic macroscopy, and its performance in the label-free visualization of tissue pathophysiology, such as inflammation, oxygenation, vascularization and angiogenesis. We also review emerging applications of OPAM in clinical and biological imaging.
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25
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Soltani M, Rahpeima R, Kashkooli FM. Breast cancer diagnosis with a microwave thermoacoustic imaging technique—a numerical approach. Med Biol Eng Comput 2019; 57:1497-1513. [DOI: 10.1007/s11517-019-01961-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 02/02/2019] [Indexed: 10/27/2022]
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26
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Adabi S, Ghavami S, Fatemi M, Alizad A. Non-Local Based Denoising Framework for In Vivo Contrast-Free Ultrasound Microvessel Imaging. SENSORS (BASEL, SWITZERLAND) 2019; 19:E245. [PMID: 30634614 PMCID: PMC6358982 DOI: 10.3390/s19020245] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 01/03/2019] [Accepted: 01/04/2019] [Indexed: 11/16/2022]
Abstract
Vascular networks can provide invaluable information about tumor angiogenesis. Ultrafast Doppler imaging enables ultrasound to image microvessels by applying tissue clutter filtering methods on the spatio-temporal data obtained from plane-wave imaging. However, the resultant vessel images suffer from background noise that degrades image quality and restricts vessel visibilities. In this paper, we addressed microvessel visualization and the associated noise problem in the power Doppler images with the goal of achieving enhanced vessel-background separation. We proposed a combination of patch-based non-local mean filtering and top-hat morphological filtering to improve vessel outline and background noise suppression. We tested the proposed method on a flow phantom, as well as in vivo breast lesions, thyroid nodules, and pathologic liver from human subjects. The proposed non-local-based framework provided a remarkable gain of more than 15 dB, on average, in terms of contrast-to-noise and signal-to-noise ratios. In addition to improving visualization of microvessels, the proposed method provided high quality images suitable for microvessel morphology quantification that may be used for diagnostic applications.
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Affiliation(s)
- Saba Adabi
- Department of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA.
| | - Siavash Ghavami
- Department of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA.
| | - Mostafa Fatemi
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA.
| | - Azra Alizad
- Department of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA.
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Fadden C, Kothapalli SR. A Single Simulation Platform for Hybrid Photoacoustic and RF-Acoustic Computed Tomography. APPLIED SCIENCES-BASEL 2018; 8. [PMID: 31304045 PMCID: PMC6625763 DOI: 10.3390/app8091568] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
In recent years, multimodal thermoacoustic imaging has demonstrated superior imaging quality compared to other emerging modalities. It provides functional and molecular information, arising due to electromagnetic absorption contrast, at ultrasonic resolution using inexpensive and non-ionizing imaging methods. The development of optical- as well as radio frequency (RF)-induced thermoacoustic imaging systems would benefit from reliable numerical simulations. To date, most numerical models use a combination of different software in order to model the hybrid thermoacoustic phenomenon. Here, we demonstrate the use of a single open source finite element software platform (ONELAB) for photo- and RF-acoustic computed tomography. The solutions of the optical diffusion equation, frequency domain Maxwell’s equations, and time-domain wave equation are used to solve the optical, electromagnetic, and acoustic propagation problems, respectively, in ONELAB. The results on a test homogeneous phantom and an approximate breast phantom confirm that ONELAB is a very effective software for both photo- and RF-acoustic simulations, and invaluable for developing new reconstruction algorithms and hardware systems.
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Affiliation(s)
- Christopher Fadden
- Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA
| | - Sri-Rajasekhar Kothapalli
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA
- Penn State Hershey Cancer Institute, The Pennsylvania State University, Hershey, PA 17033, USA
- Correspondence:
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28
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Mozaffarzadeh M, Periyasamy V, Pramanik M, Makkiabadi B. Efficient nonlinear beamformer based on P'th root of detected signals for linear-array photoacoustic tomography: application to sentinel lymph node imaging. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-12. [PMID: 30054995 PMCID: PMC8357197 DOI: 10.1117/1.jbo.23.12.121604] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 06/13/2018] [Indexed: 05/18/2023]
Abstract
In linear-array transducer-based photoacoustic (PA) imaging, B-scan PA images are formed using the raw channel PA signals. Delay-and-sum (DAS) is the most prevalent algorithm due to its simple implementation, but it leads to low-quality images. Delay-multiply-and-sum (DMAS) provides a higher image quality in comparison with DAS while it imposes a computational burden of O ( M2 ) . We introduce a nonlinear (NL) beamformer for linear-array PA imaging, which uses the p'th root of the detected signals and imposes the complexity of DAS [O ( M ) ]. The proposed algorithm is evaluated numerically and experimentally [wire-target and in-vivo sentinel lymph node (SLN) imaging], and the effects of the parameter p are investigated. The results show that the NL algorithm, using a root of p (NL_p), leads to lower sidelobes and higher signal-to-noise ratio compared with DAS and DMAS, for (p > 2). The sidelobes level (for the wire-target phantom), at the depth of 11.4 mm, are about -31, -52, -52, -67, -88, and -109 dB, for DAS, DMAS, NL_2, NL_3, NL_4, and NL_5, respectively, indicating the superiority of the NL_p algorithm. In addition, the best value of p for SLN imaging is reported to be 12.
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Affiliation(s)
- Moein Mozaffarzadeh
- Institute for Advanced Medical Technologies (IAMT), Research Center for Biomedical Technologies and Robotics (RCBTR), Tehran, Iran
- Tarbiat Modares University, Department of Biomedical Engineering, Tehran, Iran
| | - Vijitha Periyasamy
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
| | - Manojit Pramanik
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
- Address all correspondence to: Manojit Pramanik, E-mail: ; Bahador Makkiabadi, E-mail:
| | - Bahador Makkiabadi
- Institute for Advanced Medical Technologies (IAMT), Research Center for Biomedical Technologies and Robotics (RCBTR), Tehran, Iran
- Tehran University of Medical Sciences, School of Medicine, Department of Medical Physics and Biomedical Engineering, Tehran, Iran
- Address all correspondence to: Manojit Pramanik, E-mail: ; Bahador Makkiabadi, E-mail:
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29
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Petrosyan T, Theodorou M, Bamber J, Frenz M, Jaeger M. Rapid scanning wide-field clutter elimination in epi-optoacoustic imaging using comb LOVIT. PHOTOACOUSTICS 2018; 10:20-30. [PMID: 29755937 PMCID: PMC5945922 DOI: 10.1016/j.pacs.2018.02.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/22/2017] [Accepted: 02/13/2018] [Indexed: 05/07/2023]
Abstract
Epi-style optoacoustic (OA) imaging provides flexibility by integrating the irradiation optics and ultrasound receiver, yet clutter generated by optical absorption near the probe obscures deep OA sources. Localised vibration tagging (LOVIT) retrieves OA signal from images that are acquired with and without a preceding ultrasonic pushing beam: Radiation force leads to a phase shift of signals coming from the focal area resulting in their visibility in a difference image, whereas clutter from outside the pushing beam is eliminated. Disadvantages of a single-focus approach are residual clutter from inside the pushing beam above the focus, and time-intensive scanning of the focus to retrieve a large field-of-view. To speed up acquisition, we propose to create multiple foci in parallel, forming comb-shaped ARF patterns. By subtracting OA images obtained with interleaved combs, this technique moreover results in greatly improved clutter reduction in phantoms mimicking optical, acoustic and elastic properties of breast tissue.
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Affiliation(s)
- Tigran Petrosyan
- Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland
| | - Maria Theodorou
- Joint Department of Physics and CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Jeff Bamber
- Joint Department of Physics and CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Martin Frenz
- Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland
| | - Michael Jaeger
- Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland
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30
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Petrosyan T, Theodorou M, Bamber J, Frenz M, Jaeger M. Rapid scanning wide-field clutter elimination in epi-optoacoustic imaging using comb LOVIT. PHOTOACOUSTICS 2018; 10:20-30. [PMID: 29755937 DOI: 10.1109/ultsym.2017.8092699] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/22/2017] [Accepted: 02/13/2018] [Indexed: 05/22/2023]
Abstract
Epi-style optoacoustic (OA) imaging provides flexibility by integrating the irradiation optics and ultrasound receiver, yet clutter generated by optical absorption near the probe obscures deep OA sources. Localised vibration tagging (LOVIT) retrieves OA signal from images that are acquired with and without a preceding ultrasonic pushing beam: Radiation force leads to a phase shift of signals coming from the focal area resulting in their visibility in a difference image, whereas clutter from outside the pushing beam is eliminated. Disadvantages of a single-focus approach are residual clutter from inside the pushing beam above the focus, and time-intensive scanning of the focus to retrieve a large field-of-view. To speed up acquisition, we propose to create multiple foci in parallel, forming comb-shaped ARF patterns. By subtracting OA images obtained with interleaved combs, this technique moreover results in greatly improved clutter reduction in phantoms mimicking optical, acoustic and elastic properties of breast tissue.
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Affiliation(s)
- Tigran Petrosyan
- Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland
| | - Maria Theodorou
- Joint Department of Physics and CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Jeff Bamber
- Joint Department of Physics and CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Martin Frenz
- Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland
| | - Michael Jaeger
- Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland
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31
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Awasthi N, Kalva SK, Pramanik M, Yalavarthy PK. Image-guided filtering for improving photoacoustic tomographic image reconstruction. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-22. [PMID: 29943527 DOI: 10.1117/1.jbo.23.9.091413] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 06/01/2018] [Indexed: 05/20/2023]
Abstract
Several algorithms exist to solve the photoacoustic image reconstruction problem depending on the expected reconstructed image features. These reconstruction algorithms promote typically one feature, such as being smooth or sharp, in the output image. Combining these features using a guided filtering approach was attempted in this work, which requires an input and guiding image. This approach act as a postprocessing step to improve commonly used Tikhonov or total variational regularization method. The result obtained from linear backprojection was used as a guiding image to improve these results. Using both numerical and experimental phantom cases, it was shown that the proposed guided filtering approach was able to improve (as high as 11.23 dB) the signal-to-noise ratio of the reconstructed images with the added advantage being computationally efficient. This approach was compared with state-of-the-art basis pursuit deconvolution as well as standard denoising methods and shown to outperform them.
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Affiliation(s)
- Navchetan Awasthi
- Indian Institute of Science, Department of Computational and Data Sciences, Bangalore, India
| | - Sandeep Kumar Kalva
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
| | - Manojit Pramanik
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
| | - Phaneendra K Yalavarthy
- Indian Institute of Science, Department of Computational and Data Sciences, Bangalore, India
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32
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Kalva SK, Hui ZZ, Pramanik M. Calibrating reconstruction radius in a multi single-element ultrasound-transducer-based photoacoustic computed tomography system. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION 2018; 35:764-771. [PMID: 29726481 DOI: 10.1364/josaa.35.000764] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 03/22/2018] [Indexed: 05/21/2023]
Abstract
In a circular scanning photoacoustic computed tomography (PAT/PACT) system, a single-element ultrasound transducer (SUT) (rotates in full 360° around the sample) or a full-ring array transducer is used to acquire the photoacoustic (PA) data from the target object. SUT takes several minutes to acquire the PA data, whereas the full-ring array transducer takes only few seconds. Hence, for real-time imaging, full-ring circular array transducers are preferred. However, these are custom built, very expensive, and not available readily on the market, whereas SUTs are cheap and easily available. Thus, PACT systems can be made cost effective by using SUTs. To improve the data acquisition speed, multiple SUTs can be employed at the same time. This will reduce the acquisition time by N-fold if N numbers of SUTs are used, each rotating 360/N degrees. Experimentally, all SUTs cannot be placed exactly at the same distance from the scanning center. Hence, the acquired PA data from each transducer need to be reconstructed with their corresponding radii in a delay-and-sum reconstruction algorithm. This requires the exact location of each SUT from the scanning center. Here, we propose a calibration method to find out the distance from the scanning center at which each SUT acquires the PA data. Three numerical phantoms were used to show the efficacy of the proposed method, and later it was validated with experimental data (point source phantom).
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33
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Zheng P, Li J, Kros JM. Breakthroughs in modern cancer therapy and elusive cardiotoxicity: Critical research-practice gaps, challenges, and insights. Med Res Rev 2018; 38:325-376. [PMID: 28862319 PMCID: PMC5763363 DOI: 10.1002/med.21463] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 07/14/2017] [Accepted: 07/15/2017] [Indexed: 12/16/2022]
Abstract
To date, five cancer treatment modalities have been defined. The three traditional modalities of cancer treatment are surgery, radiotherapy, and conventional chemotherapy, and the two modern modalities include molecularly targeted therapy (the fourth modality) and immunotherapy (the fifth modality). The cardiotoxicity associated with conventional chemotherapy and radiotherapy is well known. Similar adverse cardiac events are resurging with the fourth modality. Aside from the conventional and newer targeted agents, even the most newly developed, immune-based therapeutic modalities of anticancer treatment (the fifth modality), e.g., immune checkpoint inhibitors and chimeric antigen receptor (CAR) T-cell therapy, have unfortunately led to potentially lethal cardiotoxicity in patients. Cardiac complications represent unresolved and potentially life-threatening conditions in cancer survivors, while effective clinical management remains quite challenging. As a consequence, morbidity and mortality related to cardiac complications now threaten to offset some favorable benefits of modern cancer treatments in cancer-related survival, regardless of the oncologic prognosis. This review focuses on identifying critical research-practice gaps, addressing real-world challenges and pinpointing real-time insights in general terms under the context of clinical cardiotoxicity induced by the fourth and fifth modalities of cancer treatment. The information ranges from basic science to clinical management in the field of cardio-oncology and crosses the interface between oncology and onco-pharmacology. The complexity of the ongoing clinical problem is addressed at different levels. A better understanding of these research-practice gaps may advance research initiatives on the development of mechanism-based diagnoses and treatments for the effective clinical management of cardiotoxicity.
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Affiliation(s)
- Ping‐Pin Zheng
- Cardio‐Oncology Research GroupErasmus Medical CenterRotterdamthe Netherlands
- Department of PathologyErasmus Medical CenterRotterdamthe Netherlands
| | - Jin Li
- Department of OncologyShanghai East Hospital, Tongji University School of MedicineShanghaiChina
| | - Johan M Kros
- Department of PathologyErasmus Medical CenterRotterdamthe Netherlands
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34
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Wang X, Ji Z, Yang S, Xing D. Morphological-adaptive photoacoustic tomography with flexible transducer and flexible orientation light. OPTICS LETTERS 2017; 42:4486-4489. [PMID: 29088194 DOI: 10.1364/ol.42.004486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 10/03/2017] [Indexed: 06/07/2023]
Abstract
Although conventional photoacoustic tomography (PAT) provides high optical contrast and high ultrasound resolution in depth, its fixed-energy-distribution laser and unchangeable-shaped detector hinder its implementations on clinical routine breast screening. In this Letter, for the first time, to the best of our knowledge, we present a fully flexible photoacoustic coupling system (FPACS) that integrates optical fiber bundles and a flexible ultrasonic transducer for morphological-adaptive breast detection. The experimental results show that the system has better resolution and higher energy utilization than traditional PAT systems, even at the edge of the imaging region. Moreover, the system can achieve morphological adaption, suggesting that the FPACS provides the potential for clinical routine breast screening.
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35
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Tafreshi AK, Top CB, Gençer NG. Two-dimensional multi-frequency imaging of a tumor inclusion in a homogeneous breast phantom using the harmonic motion Doppler imaging method. Phys Med Biol 2017; 62:4852-4869. [PMID: 28151726 DOI: 10.1088/1361-6560/aa5de1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Harmonic motion microwave Doppler imaging (HMMDI) is a novel imaging modality for imaging the coupled electrical and mechanical properties of body tissues. In this paper, we used two experimental systems with different receiver configurations to obtain HMMDI images from tissue-mimicking phantoms at multiple vibration frequencies between 15 Hz and 35 Hz. In the first system, we used a spectrum analyzer to obtain the Doppler data in the frequency domain, while in the second one, we used a homodyne receiver that was designed to acquire time-domain data. The developed phantoms mimicked the elastic and dielectric properties of breast fat tissue, and included a [Formula: see text] mm cylindrical inclusion representing the tumor. A focused ultrasound probe was mechanically scanned in two lateral dimensions to obtain two-dimensional HMMDI images of the phantoms. The inclusions were resolved inside the fat phantom using both experimental setups. The image resolution increased with increasing vibration frequency. The designed receiver showed higher sensitivity than the spectrum analyzer measurements. The results also showed that time-domain data acquisition should be used to fully exploit the potential of the HMMDI method.
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Affiliation(s)
- Azadeh Kamali Tafreshi
- Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey
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36
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Gawale Y, Adarsh N, Kalva SK, Joseph J, Pramanik M, Ramaiah D, Sekar N. Carbazole-Linked Near-Infrared Aza-BODIPY Dyes as Triplet Sensitizers and Photoacoustic Contrast Agents for Deep-Tissue Imaging. Chemistry 2017; 23:6570-6578. [DOI: 10.1002/chem.201605702] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Indexed: 02/02/2023]
Affiliation(s)
- Yogesh Gawale
- Dyestuff Technology Department; Institute of Chemical Technology; Matunga, Mumbai 400 019 India
| | - Nagappanpillai Adarsh
- Chemical Sciences and Technology Division; CSIR-National Institute for Interdisciplinary Science and Technology; Thiruvananthapuram 695 019 Kerala India
| | - Sandeep Kumar Kalva
- School of Chemical and Biomedical Engineering; Nanyang Technological University; 62 Nanyang Drive Singapore 637459 Singapore
| | - Joshy Joseph
- Chemical Sciences and Technology Division; CSIR-National Institute for Interdisciplinary Science and Technology; Thiruvananthapuram 695 019 Kerala India
| | - Manojit Pramanik
- School of Chemical and Biomedical Engineering; Nanyang Technological University; 62 Nanyang Drive Singapore 637459 Singapore
| | - Danaboyina Ramaiah
- CSIR-North East Institute of Science and Technology, Jorhat; 785 006 Assam India
| | - Nagaiyan Sekar
- Dyestuff Technology Department; Institute of Chemical Technology; Matunga, Mumbai 400 019 India
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37
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Upputuri PK, Pramanik M. Recent advances toward preclinical and clinical translation of photoacoustic tomography: a review. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:41006. [PMID: 27893078 DOI: 10.1117/1.jbo.22.4.041006] [Citation(s) in RCA: 111] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 10/31/2016] [Indexed: 05/18/2023]
Affiliation(s)
- Paul Kumar Upputuri
- Nanyang Technological University, School of Chemical and Biomedical Engineering, 62 Nanyang Drive, Singapore 637459, Singapore
| | - Manojit Pramanik
- Nanyang Technological University, School of Chemical and Biomedical Engineering, 62 Nanyang Drive, Singapore 637459, Singapore
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38
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Kalva SK, Pramanik M. Use of acoustic reflector to make a compact photoacoustic tomography system. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:26009. [PMID: 28241275 DOI: 10.1117/1.jbo.22.2.026009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 02/08/2017] [Indexed: 06/06/2023]
Abstract
A typical photoacoustic tomography (PAT) system uses a Q-switched Nd:YAG laser for irradiating the sample and a single-element ultrasound transducer (UST) for acquiring the photoacoustic data. Conventionally, in PAT systems, the UST is held in a horizontal position and moved in a circular motion around the sample in full 2 ? radians. Horizontal positioning of the UST requires a large water tank to house, and load on the motor is also high. To overcome this limitation, we used the UST in the vertical plane instead of the horizontal plane. The photoacoustic (PA) waves generated from the sample are directed to the detector surface using an acoustic reflector placed at 45 deg to the transducer body. Hence, we can reduce the scanning radius, which, in turn, will reduce the size of the water tank and load on the motor, and the overall conventional PAT system size can be minimized. In this work, we demonstrate that with this system configuration, we acquire nearly similar images for phantom and in vivo data as that of the conventional PAT system using both flat and focused USTs.
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Affiliation(s)
- Sandeep Kumar Kalva
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
| | - Manojit Pramanik
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
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39
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Du J, Wang W, Gao J, Gao Y. An improve RCB method based on microwave induced thermo acoustic tomography. BIO WEB OF CONFERENCES 2017. [DOI: 10.1051/bioconf/20170802001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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40
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Bhatt M, Acharya A, Yalavarthy PK. Computationally efficient error estimate for evaluation of regularization in photoacoustic tomography. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:106002. [PMID: 27762422 DOI: 10.1117/1.jbo.21.10.106002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 09/14/2016] [Indexed: 05/20/2023]
Abstract
The model-based image reconstruction techniques for photoacoustic (PA) tomography require an explicit regularization. An error estimate (?2) minimization-based approach was proposed and developed for the determination of a regularization parameter for PA imaging. The regularization was used within Lanczos bidiagonalization framework, which provides the advantage of dimensionality reduction for a large system of equations. It was shown that the proposed method is computationally faster than the state-of-the-art techniques and provides similar performance in terms of quantitative accuracy in reconstructed images. It was also shown that the error estimate (?2) can also be utilized in determining a suitable regularization parameter for other popular techniques such as Tikhonov, exponential, and nonsmooth (?1 and total variation norm based) regularization methods.
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Affiliation(s)
- Manish Bhatt
- Indian Institute of Science, Medical Imaging Group, Department of Computational and Data Sciences, C V Raman Avenue, Bengaluru 560012, India
| | - Atithi Acharya
- Indian Institute of Science, Medical Imaging Group, Department of Computational and Data Sciences, C V Raman Avenue, Bengaluru 560012, India
| | - Phaneendra K Yalavarthy
- Indian Institute of Science, Medical Imaging Group, Department of Computational and Data Sciences, C V Raman Avenue, Bengaluru 560012, India
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41
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Kalva SK, Pramanik M. Experimental validation of tangential resolution improvement in photoacoustic tomography using modified delay-and-sum reconstruction algorithm. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:86011. [PMID: 27548773 DOI: 10.1117/1.jbo.21.8.086011] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 08/03/2016] [Indexed: 05/20/2023]
Abstract
For a circular scanning geometry in photoacoustic tomography, the axial/radial resolution is spatially invariant and is not affected by the ultrasound transducer (UST, detector) aperture. However, the tangential resolution is dependent on the detector aperture size and it varies spatially. Many techniques were proposed to improve the tangential resolution, such as attaching a concave lens in front of the nonfocused transducer or using a virtual point detector. Both of these methods have difficulties. Therefore, a modified delay-and-sum reconstruction algorithm has been proposed which can be used together with a standard ultrasound detector (nonfocused) to improve the tangential resolution. In this work, we validate the modified delay-and-sum algorithm experimentally for both flat and cylindrically focused USTs. More than threefold improvement in tangential resolution is observed. It is also shown that the object shape is recovered with this modified algorithm, which is very helpful for diagnosis and treatment purposes.
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42
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Huang L, Cai W, Zhao Y, Wu D, Wang L, Wang Y, Lai D, Rong J, Gao F, Jiang H. In vivo tumor detection with combined MR–Photoacoustic-Thermoacoustic imaging. JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES 2016. [DOI: 10.1142/s1793545816500152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Here, we report a new method using combined magnetic resonance (MR)–Photoacoustic (PA)–Thermoacoustic (TA) imaging techniques, and demonstrate its unique ability for in vivo cancer detection using tumor-bearing mice. Circular scanning TA and PA imaging systems were used to recover the dielectric and optical property distributions of three colon carcinoma bearing mice While a 7.0-T magnetic resonance imaging (MRI) unit with a mouse body volume coil was utilized for high resolution structural imaging of the same mice. Three plastic tubes filled with soybean sauce were used as fiducial markers for the co-registration of MR, PA and TA images. The resulting fused images provided both enhanced tumor margin and contrast relative to the surrounding normal tissues. In particular, some finger-like protrusions extending into the surrounding tissues were revealed in the MR/TA infused images. These results show that the tissue functional optical and dielectric properties provided by PA and TA images along with the anatomical structure by MRI in one picture make accurate tumor identification easier. This combined MR–PA–TA-imaging strategy has the potential to offer a clinically useful triple-modality tool for accurate cancer detection and for intraoperative surgical navigation.
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Affiliation(s)
- Lin Huang
- School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Wei Cai
- Department of Biomedical Engineering, University of Florida, FL 32611, USA
| | - Yuan Zhao
- School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Dan Wu
- School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Lei Wang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China
| | - Yuqing Wang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China
| | - Dakun Lai
- School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Jian Rong
- School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Fabao Gao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China
| | - Huabei Jiang
- School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
- Department of Biomedical Engineering, University of Florida, FL 32611, USA
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43
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Ji Z, Ding W, Ye F, Lou C. Handheld Thermoacoustic Scanning System Based on a Linear-array Transducer. ULTRASONIC IMAGING 2016; 38:276-284. [PMID: 26294659 DOI: 10.1177/0161734615601987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
To receive the information necessary for imaging, traditional microwave-induced thermoacoustic imaging systems (MITISs) use a type of circular-scanning mode using single or arc detectors. However, the use of MITISs for body scanning is complicated by restrictions in space and imaging time. A linear-array detector, the most widely used transducer in medical ultrasound imaging systems for body scanning, is a possible alternative to MITISs for scanning biological tissues, such as from the breast or limbs. In this paper, a handheld MITIS, based on a linear-array detector and a multiple data acquisition system, is described, and the capacity of the system is explored experimentally. First, the vertical and lateral resolution of the system is discussed. Next, real-time imaging of a moving object, obtained with an image capture rate of 20 frame/s, is described. Finally, a phantom experiment is detailed, investigating the overall imaging capability. The results show that this system achieves rapid scanning with a large field of view. The system has the obvious advantages of being handheld, not using coupled fluids, and achieving real-time imaging with a large field of view, which make this MITIS more suitable for clinical applications.
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Affiliation(s)
- Zhong Ji
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University, Guangzhou, People's Republic of China
| | - Wenzheng Ding
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University, Guangzhou, People's Republic of China
| | - Fanghao Ye
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University, Guangzhou, People's Republic of China
| | - Cunguang Lou
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University, Guangzhou, People's Republic of China
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44
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Nikitichev DI, Xia W, Hill E, Mosse CA, Perkins T, Konyn K, Ourselin S, Desjardins AE, Vercauteren T. Music-of-light stethoscope: a demonstration of the photoacoustic effect. ACTA ACUST UNITED AC 2016; 51:045015. [PMID: 29249838 PMCID: PMC5717520 DOI: 10.1088/0031-9120/51/4/045015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 04/11/2016] [Accepted: 04/25/2016] [Indexed: 11/17/2022]
Abstract
In this paper we present a system aimed at demonstrating the photoacoustic (PA) effect for educational purposes. PA imaging is a hybrid imaging modality that requires no contrast agent and has a great potential for spine and brain lesion characterisation, breast cancer and blood flow monitoring notably in the context of fetal surgery. It relies on combining light excitation with ultrasound reception. Our brief was to present and explain PA imaging in a public-friendly way suitable for a variety of ages and backgrounds. We developed a simple, accessible demonstration unit using readily available materials. We used a modulated light emitting diode (LED) torch and an electronic stethoscope. The output of a music player was used for light modulation and the chest piece of the stethoscope covered by a black tape was used as an absorbing target and an enclosed chamber. This demonstration unit was presented to the public at the Bloomsbury Festival On Light in October 2015. Our stall was visited by over 100 people of varying ages. Twenty families returned in-depth evaluation questionnaires, which show that our explanations of the photoacoustic effect were well understood. Their interest in biomedical engineering was increased.
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Affiliation(s)
- D I Nikitichev
- Translational Imaging group, Centre for Medical Image Computing, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, WC1E 6BT, London, UK.,
| | - W Xia
- Translational Imaging group, Centre for Medical Image Computing, University College London, London, UK
| | - E Hill
- Translational Imaging group, Centre for Medical Image Computing, University College London, London, UK
| | - C A Mosse
- Translational Imaging group, Centre for Medical Image Computing, University College London, London, UK
| | - T Perkins
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, WC1E 6BT, London, UK
| | - K Konyn
- Translational Imaging group, Centre for Medical Image Computing, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, WC1E 6BT, London, UK
| | - S Ourselin
- Translational Imaging group, Centre for Medical Image Computing, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, WC1E 6BT, London, UK
| | - A E Desjardins
- Translational Imaging group, Centre for Medical Image Computing, University College London, London, UK
| | - T Vercauteren
- Translational Imaging group, Centre for Medical Image Computing, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, WC1E 6BT, London, UK
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45
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Efficient block-sparse model-based algorithm for photoacoustic image reconstruction. Biomed Signal Process Control 2016. [DOI: 10.1016/j.bspc.2015.12.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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46
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Sivasubramanian K, Pramanik M. High frame rate photoacoustic imaging at 7000 frames per second using clinical ultrasound system. BIOMEDICAL OPTICS EXPRESS 2016; 7:312-23. [PMID: 26977342 PMCID: PMC4771451 DOI: 10.1364/boe.7.000312] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Revised: 12/22/2015] [Accepted: 12/23/2015] [Indexed: 05/02/2023]
Abstract
Photoacoustic tomography, a hybrid imaging modality combining optical and ultrasound imaging, is gaining attention in the field of medical imaging. Typically, a Q-switched Nd:YAG laser is used to excite the tissue and generate photoacoustic signals. But, such photoacoustic imaging systems are difficult to translate into clinical applications owing to their high cost, bulky size often requiring an optical table to house such lasers. Moreover, the low pulse repetition rate of few tens of hertz prevents them from being used in high frame rate photoacoustic imaging. In this work, we have demonstrated up to 7000 Hz photoacoustic imaging (B-mode) and measured the flow rate of a fast moving object. We used a ~140 nanosecond pulsed laser diode as an excitation source and a clinical ultrasound imaging system to capture and display the photoacoustic images. The excitation laser is ~803 nm in wavelength with ~1.4 mJ energy per pulse. So far, the reported 2-dimensional photoacoustic B-scan imaging is only a few tens of frames per second using a clinical ultrasound system. Therefore, this is the first report on 2-dimensional photoacoustic B-scan imaging with 7000 frames per second. We have demonstrated phantom imaging to view and measure the flow rate of ink solution inside a tube. This fast photoacoustic imaging can be useful for various clinical applications including cardiac related problems, where the blood flow rate is quite high, or other dynamic studies.
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Affiliation(s)
| | - Manojit Pramanik
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 637459 Singapore
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47
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Targeted Fe-filled carbon nanotube as a multifunctional contrast agent for thermoacoustic and magnetic resonance imaging of tumor in living mice. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2016; 12:235-44. [DOI: 10.1016/j.nano.2015.08.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 07/24/2015] [Accepted: 08/30/2015] [Indexed: 12/27/2022]
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48
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Abstract
Photoacoustic tomography (PAT) combines rich optical absorption contrast with the high spatial resolution of ultrasound at depths in tissue. The high scalability of PAT has enabled anatomical imaging of biological structures ranging from organelles to organs. The inherent functional and molecular imaging capabilities of PAT have further allowed it to measure important physiological parameters and track critical cellular activities. Integration of PAT with other imaging technologies provides complementary capabilities and can potentially accelerate the clinical translation of PAT.
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Affiliation(s)
- Junjie Yao
- Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, MO, USA
| | - Jun Xia
- Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, MO, USA Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Lihong V Wang
- Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, MO, USA
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49
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Upputuri PK, Pramanik M. Pulsed laser diode based optoacoustic imaging of biological tissues. Biomed Phys Eng Express 2015. [DOI: 10.1088/2057-1976/1/4/045010] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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50
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Microwave pumped high-efficient thermoacoustic tumor therapy with single wall carbon nanotubes. Biomaterials 2015; 75:163-173. [PMID: 26513410 DOI: 10.1016/j.biomaterials.2015.10.028] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 10/10/2015] [Accepted: 10/14/2015] [Indexed: 12/27/2022]
Abstract
The ultra-short pulse microwave could excite to the strong thermoacoustic (TA) shock wave and deeply penetrate in the biological tissues. Based on this, we developed a novel deep-seated tumor therapy modality with mitochondria-targeting single wall carbon nanotubes (SWNTs) as microwave absorbing agents, which act efficiently to convert ultra-short microwave energy into TA shock wave and selectively destroy the targeted mitochondria, thereby inducing apoptosis in cancer cells. After the treatment of SWNTs (40 μg/mL) and ultra-short microwave (40 Hz, 1 min), 77.5% of cancer cells were killed and the vast majority were caused by apoptosis that initiates from mitochondrial damage. The orthotopic liver cancer mice were established as deep-seated tumor model to investigate the anti-tumor effect of mitochondria-targeting TA therapy. The results suggested that TA therapy could effectively inhibit the tumor growth without any observable side effects, while it was difficult to achieve with photothermal or photoacoustic therapy. These discoveries implied the potential application of TA therapy in deep-seated tumor models and should be further tested for development into a promising therapeutic modality for cancer treatment.
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