ArticleMedical physics2021
A comparison of proton stopping power measured with proton CT and x-ray CT in fresh postmortem porcine structures.
Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of volumetric image guidance in proton therapy.Physical and engineering sciences in medicine · 2023Pooled it
- A comparison of relative stopping power derived by fast kV-switching dual-energy CT, single-energy CT, and proton CT in phantom and tissue.Medical physics · 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 a helium-beam radiography system based on thin pixel detectors for an anthropomorphic head phantom.Medical physics · 2025Article
- Imaging lung tumor motion using integrated-mode proton radiography-A phantom study towards tumor tracking in proton radiotherapy.Medical physics · 2025Article
- 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
- Focus stacking single-event particle radiography for high spatial resolution images and 3D feature localization.Physics in medicine and biology · 2024Article
- A review of the clinical introduction of 4D particle therapy research concepts.Physics and imaging in radiation oncology · 2024Review
- A stopping criterion for iterative proton CT image reconstruction based on correlated noise properties.Journal of applied clinical medical physics · 2023Article
- Effect of extended field-of-view approaches on the accuracy of stopping power ratio estimation for single-energy computed tomography simulators.Journal of applied clinical medical physics · 2023Article
- Validation of an MR-based multimodal method for molecular composition and proton stopping power ratio determination usingPhysics in medicine and biology · 2023Article
- Image-Guided Proton Therapy: A Comprehensive Review.Cancers · 2023Review
- Radiation shielding assessment of high-energy proton imaging at a proton therapy facility.Medical physics · 2022Article
- An Iterative Least Squares Method for Proton CT Image Reconstruction.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Experimental comparison of photon versus particle computed tomography to predict tissue relative stopping powers.Medical physics · 2022Article
- The accuracy of helium ion CT based particle therapy range prediction: an experimental study comparing different particle and x-ray CT modalities.Physics in medicine and biology · 2021Article
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Authors and funding
16 authors.
Funding
Abstract
purposeCurrently, calculations of proton range in proton therapy patients are based on a conversion of CT Hounsfield units of patient tissues into proton relative stopping power. Uncertainties in this conversion necessitate larger proximal and distal planned target volume margins. Proton CT can potentially reduce these uncertainties by directly measuring proton stopping power. We aim to demonstrate proton CT imaging with complex porcine samples, to analyze in detail three-dimensional regions of interest, and to compare proton stopping powers directly measured by proton CT to those determined from x-ray CT scans.
methodsWe have used a prototype proton imaging system with single proton tracking to acquire proton radiography and proton CT images of a sample of porcine pectoral girdle and ribs, and a pig's head. We also acquired close in time x-ray CT scans of the same samples and compared proton stopping power measurements from the two modalities. In the case of the pig's head, we obtained x-ray CT scans from two different scanners and compared results from high-dose and low-dose settings.
resultsComparing our reconstructed proton CT images with images derived from x-ray CT scans, we find agreement within 1% to 2% for soft tissues and discrepancies of up to 6% for compact bone. We also observed large discrepancies, up to 40%, for cavitated regions with mixed content of air, soft tissue, and bone, such as sinus cavities or tympanic bullae.
conclusionsOur images and findings from a clinically realistic proton CT scanner demonstrate the potential for proton CT to be used for low-dose treatment planning with reduced margins.
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