ArticleFrontiers in oncology2022
Assessment of quantitative information for radiation therapy at a first-generation clinical photon-counting computed tomography scanner.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 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
- Estimation of proton stopping power from principal components of dual-energy CT virtual monoenergetic images.Medical physics · 2026Article
- Reduction of CT number location dependency using photon-counting detector CT and virtual monoenergetic imaging.Physics in medicine and biology · 2026Article
- Photon-counting CT for radiotherapy: Qualitative assessment of potential clinical value by semi-structured expert interviews.Clinical and translational radiation oncology · 2026Article
- Evaluation of a fast kV switching dual energy CT in deriving relative stopping power using tissue equivalent phantoms of various sizes.Medical physics · 2026Article
- Accuracy of Photon Dose Calculation on Photon-Counting Computed Tomography-A Comparison Study Based on Virtual Monoenergetic and Electron Density (Rho) Images for Pancreatic Cases.Advances in radiation oncology · 2026Article
- Photon-counting computed tomography for stopping power ratio prediction in proton therapy.Medical physics · 2025Article
- First implementation of photon-counting dector computed tomography for optimizing segmentation in head-and-neck cancer radiotherapy.Physics and imaging in radiation oncology · 2025Article
- Photon-counting CT in cancer radiotherapy: technological advances and clinical benefits.Physics in medicine and biology · 2025Review
- Pulmonary embolism detection without intravenous contrast using electron density and Z-effective maps from dual-energy CT.Radiology advances · 2024Article
- Validation of dual-energy CT-based composition analysis using fresh animal tissues and composition-optimized tissue equivalent samples.Physics in medicine and biology · 2024Article
- Benefit of range uncertainty reduction in robust optimisation for proton therapy of brain, head-and-neck and breast cancer patients.Physics and imaging in radiation oncology · 2024Article
- Survey on fan-beam computed tomography for radiotherapy: Current implementation and future perspectives of motion management and surface guidance devices.Physics and imaging in radiation oncology · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
As one of the latest developments in X-ray computed tomography (CT), photon-counting technology allows spectral detection, demonstrating considerable advantages as compared to conventional CT. In this study, we investigated the use of a first-generation clinical photon-counting computed tomography (PCCT) scanner and estimated proton relative (to water) stopping power (RSP) of tissue-equivalent materials from virtual monoenergetic reconstructions provided by the scanner. A set of calibration and evaluation tissue-equivalent inserts were scanned at 120 kVp. Maps of relative electron density (RED) and effective atomic number (EAN) were estimated from the reconstructed virtual monoenergetic images (VMI) using an approach previously applied to a spectral CT scanner with dual-layer detector technology, which allows direct calculation of RSP using the Bethe-Bloch formula. The accuracy of RED, EAN, and RSP was evaluated by root-mean-square errors (RMSE) averaged over the phantom inserts. The reference RSP values were obtained experimentally using a water column in an ion beam. For RED and EAN, the reference values were calculated based on the mass density and the chemical composition of the inserts. Different combinations of low- and high-energy VMIs were investigated in this study, ranging from 40 to 190 keV. The overall lowest error was achieved using VMIs at 60 and 180 keV, with an RSP accuracy of 1.27% and 0.71% for the calibration and the evaluation phantom, respectively.
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