ArticleMedical physics2025
Photon-counting computed tomography for stopping power ratio prediction in proton therapy.
Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Impact of beam hardening on proton stopping-power ratio estimation using photon-counting, dual-energy, and single-energy computed tomography.Physics and imaging in radiation oncology · 2026Article
- Proton therapy range uncertainty reduction using vendor-agnostic tissue characterization on a virtual photon-counting CT head scan.Medical physics · 2026Article
- Experimental characterization and mitigation of scatter induced spectral contamination in photon counting CBCT for radiotherapy.Medical physics · 2026Article
- Article
- Photon-counting computed tomography for stopping power ratio prediction in proton therapy.Medical physics · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA substantial source of error in proton therapy is predicting the stopping power ratio (SPR) of tissues from computed tomography (CT). Due to its systematic nature, it is crucial to minimize this error as much as possible. Photon-counting CT (PCCT) scanners, which utilize semiconductor detectors to resolve the energy of X-rays, can extract more information per voxel compared to conventional CT scanners, offering potential improvements in material characterization and higher accuracy in proton range estimation. PURPOSE: This study explores the potential of PCCT for improving SPR predictions compared to conventional single-energy CT (SECT) and dual-energy CT (DECT).
methodsSECT, DECT and PCCT scans of the CIRS SPR/Density phantom with tissue-equivalent inserts were acquired in body and head configurations using comparable scan and quantitative reconstruction settings. The SPR of each insert was predicted from SECT (SPR
resultsPCCT predicted SPR within 1.0% agreement with SPR
conclusionsThe DirectSPR application for PCCT achieved promising accuracy in SPR prediction. Overall, the absolute deviations were small and comparable across all three imaging modalities. However, concerning the performance of SECT, it should be noted that the SECT-based HLUT was calibrated using the same CIRS phantom as used during the evaluation, whereby these results are the best-case scenario. Although the clinical cases showed minimal differences in dose distributions between SECT and PCCT plans, PCCT may offer improved reliability, as it provides patient-specific direct SPR predictions without relying on HLUT conversion.
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