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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
Table 1 Comparison of energy integrating vs photon counting detector systems used in computed tomography

Energy integrating detectors
Photon counting detectors
Principle of operationMeasures the total energy deposited by all incoming photons, without distinguishing their individual energiesDetects and counts individual photons, measuring their energy levels to differentiate photon spectra
Energy conversionX-rays, light energy, and electrical energyX-rays, electrical energy
Detector materialTypically uses scintillators (e.g., cesium iodide) coupled with photodiodesUtilizes semiconductors (e.g., cadmium telluride or silicon)
Energy resolutionPoor - cannot differentiate photon energies, resulting in a loss of spectral informationHigh - excellent energy resolution, enabling spectral imaging and material decomposition
Dose efficiencyLower - loses information due to electronic noise and scatterHigher - better noise performance and higher signal-to-noise ratio, enabling lower radiation dose
Spatial resolutionModerate - limited by the size of the scintillator and optical couplingHigh - smaller pixel sizes and direct detection improve spatial resolution
Spectral imaging capabilityLimited - no ability to differentiate or quantify materials based on photon energySuperior - enables spectral imaging by separating photons into energy bins for material characterization
Contrast ResolutionLimited - relies on iodine contrast enhancement but lacks the ability to differentiate materials based on energy spectraHigh - can improve contrast resolution by distinguishing between materials using energy-specific information
Detector efficiencyLower - efficiency decreases at higher photon energies due to scattering and light loss in the scintillatorHigher - direct photon-to-electron conversion results in greater efficiency across a wide energy range
Scatter sensitivityHigher - more susceptible to scatter artifacts, reducing image qualityLower - better scatter rejection due to energy discrimination
Temporal resolutionLimited - relies on integration over a specific time interval, which may result in temporal blurringHigh - fast photon counting allows better temporal resolution for dynamic imaging
ArtifactsSusceptible to beam hardening and metal artifacts due to a lack of spectral differentiationReduces beam hardening and metal artifacts by using spectral information
CostLower - widely used and cheaper due to mature technology and simpler designHigher - emerging technology with more complex manufacturing processes and semiconductor materials
Power consumptionLower - simpler electronics and integration processes result in reduced power needsHigher - photon counting electronics and energy discrimination require more power
Longevity and robustnessHigh - well-established and reliable for routine useModerate - 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 imagingHigh spatial resolution, reduction of blooming artifacts, enhanced visualization of stents and metallic implantsImproved evaluation of tiny intracranial vessels, arterial stenoses, and vascular stents; reduced artifacts near the skull base
Acute ischemic strokeSuperior signal-to-noise ratio, enhanced grey-white matter contrastEarly detection of ischemic changes, differentiation of hemorrhage from contrast media
Spinal CSF leaks and fistulasEnhanced resolution, virtual monoenergetic imagingPrecise detection of CSF leaks and venous fistulas, reduced radiation exposure
Deep brain stimulation electrode imagingUltra-high resolution, reduced noise, clear visualization of segmented contactsAccurate postoperative assessment of electrode placement and orientation
Middle and internal ear pathologiesSuperior in-plane resolution, thinner section thicknessEnhanced visualization of ossicular chains, dislocations, and cochlear implant positioning
Atherosclerotic plaque characterizationMaterial differentiation through spectral imagingImproved detection of rupture-prone plaques and assessment of intraplaque hemorrhage and lipid content
Post-treatment monitoring (Aneurysms and stents)High-resolution imaging, reduced blooming artifactsDetailed visualization of stent apposition, in-stent stenoses, and aneurysm occlusion devices
Cranial and spinal tumorsEnhanced contrast-to-noise ratio, soft-tissue resolutionBetter delineation of tumor margins and detection of smaller lesions