Copyright
©The Author(s) 2025.
World J Radiol. Nov 28, 2025; 17(11): 113701
Published online Nov 28, 2025. doi: 10.4329/wjr.v17.i11.113701
Published online Nov 28, 2025. doi: 10.4329/wjr.v17.i11.113701
Table 1 Comparison of energy integrating vs photon counting detector systems used in computed tomography
| Energy integrating detectors | Photon counting detectors | |
| Principle of operation | Measures the total energy deposited by all incoming photons, without distinguishing their individual energies | Detects and counts individual photons, measuring their energy levels to differentiate photon spectra |
| Energy conversion | X-rays, light energy, and electrical energy | X-rays, electrical energy |
| Detector material | Typically uses scintillators (e.g., cesium iodide) coupled with photodiodes | Utilizes semiconductors (e.g., cadmium telluride or silicon) |
| Energy resolution | Poor - cannot differentiate photon energies, resulting in a loss of spectral information | High - excellent energy resolution, enabling spectral imaging and material decomposition |
| Dose efficiency | Lower - loses information due to electronic noise and scatter | Higher - better noise performance and higher signal-to-noise ratio, enabling lower radiation dose |
| Spatial resolution | Moderate - limited by the size of the scintillator and optical coupling | High - smaller pixel sizes and direct detection improve spatial resolution |
| Spectral imaging capability | Limited - no ability to differentiate or quantify materials based on photon energy | Superior - enables spectral imaging by separating photons into energy bins for material characterization |
| Contrast Resolution | Limited - relies on iodine contrast enhancement but lacks the ability to differentiate materials based on energy spectra | High - can improve contrast resolution by distinguishing between materials using energy-specific information |
| Detector efficiency | Lower - efficiency decreases at higher photon energies due to scattering and light loss in the scintillator | Higher - direct photon-to-electron conversion results in greater efficiency across a wide energy range |
| Scatter sensitivity | Higher - more susceptible to scatter artifacts, reducing image quality | Lower - better scatter rejection due to energy discrimination |
| Temporal resolution | Limited - relies on integration over a specific time interval, which may result in temporal blurring | High - fast photon counting allows better temporal resolution for dynamic imaging |
| Artifacts | Susceptible to beam hardening and metal artifacts due to a lack of spectral differentiation | Reduces beam hardening and metal artifacts by using spectral information |
| Cost | Lower - widely used and cheaper due to mature technology and simpler design | Higher - emerging technology with more complex manufacturing processes and semiconductor materials |
| Power consumption | Lower - simpler electronics and integration processes result in reduced power needs | Higher - photon counting electronics and energy discrimination require more power |
| Longevity and robustness | High - well-established and reliable for routine use | Moderate - sensitive semiconductor materials may be prone to degradation over time or under high doses |
Table 2 Summary of established clinical neuroimaging applications of photon-counting computed tomography, along with the key properties of photon-counting computed tomography that provide benefits over conventional computed tomography
| Clinical application | Key properties of PCCT | Advantages in neurology |
| Neurovascular imaging | High spatial resolution, reduction of blooming artifacts, enhanced visualization of stents and metallic implants | Improved evaluation of tiny intracranial vessels, arterial stenoses, and vascular stents; reduced artifacts near the skull base |
| Acute ischemic stroke | Superior signal-to-noise ratio, enhanced grey-white matter contrast | Early detection of ischemic changes, differentiation of hemorrhage from contrast media |
| Spinal CSF leaks and fistulas | Enhanced resolution, virtual monoenergetic imaging | Precise detection of CSF leaks and venous fistulas, reduced radiation exposure |
| Deep brain stimulation electrode imaging | Ultra-high resolution, reduced noise, clear visualization of segmented contacts | Accurate postoperative assessment of electrode placement and orientation |
| Middle and internal ear pathologies | Superior in-plane resolution, thinner section thickness | Enhanced visualization of ossicular chains, dislocations, and cochlear implant positioning |
| Atherosclerotic plaque characterization | Material differentiation through spectral imaging | Improved detection of rupture-prone plaques and assessment of intraplaque hemorrhage and lipid content |
| Post-treatment monitoring (Aneurysms and stents) | High-resolution imaging, reduced blooming artifacts | Detailed visualization of stent apposition, in-stent stenoses, and aneurysm occlusion devices |
| Cranial and spinal tumors | Enhanced contrast-to-noise ratio, soft-tissue resolution | Better delineation of tumor margins and detection of smaller lesions |
- Citation: Perera Molligoda Arachchige AS, Alves GAM, Fedorov D, Ressa G, Cappellini L, Levi R, Savini G, Catapano F, Francone M, Politi LS. Neuroimaging with photon-counting computed tomography: A review of clinical applications. World J Radiol 2025; 17(11): 113701
- URL: https://www.wjgnet.com/1949-8470/full/v17/i11/113701.htm
- DOI: https://dx.doi.org/10.4329/wjr.v17.i11.113701
