ArticleMedical physics2021
Analysis of characteristics of images acquired with a prototype clinical proton radiography system.
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 10 papers.
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Who cites it
10 citing papers in PubMed, 27 citations in OpenAlex.
- Proton radiography interpretation with artificial intelligence for treatment deviation detection in proton therapy.Physics and imaging in radiation oncology · 2025Article
- LET measurements in proton and helium-ion beams of therapeutic energies using a silicon pixel detector towards a tool for quality assurance.Medical physics · 2025Article
- Accuracy of a helium-beam radiography system based on thin pixel detectors for an anthropomorphic head phantom.Medical physics · 2025Article
- Real-time single-proton counting with transmissive perovskite nanocrystal scintillators.Nature materials · 2024Article
- High-Density Glass Scintillators for Proton Radiography-Relative Luminosity, Proton Response, and Spatial Resolution.Sensors (Basel, Switzerland) · 2024Article
- Focus stacking single-event particle radiography for high spatial resolution images and 3D feature localization.Physics in medicine and biology · 2024Article
- An Iterative Least Squares Method for Proton CT Image Reconstruction.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Considerations for Upright Particle Therapy Patient Positioning and Associated Image Guidance.Frontiers in oncology · 2022Review
- Management of Motion and Anatomical Variations in Charged Particle Therapy: Past, Present, and Into the Future.Frontiers in oncology · 2022Review
- A comparison of proton stopping power measured with proton CT and x-ray CT in fresh postmortem porcine structures.Medical physics · 2021Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
purposeVerification of patient-specific proton stopping powers obtained in the patient's treatment position can be used to reduce the distal and proximal margins needed in particle beam planning. Proton radiography can be used as a pretreatment instrument to verify integrated stopping power consistency with the treatment planning CT. Although a proton radiograph is a pixel by pixel representation of integrated stopping powers, the image may also be of high enough quality and contrast to be used for patient alignment. This investigation quantifies the accuracy and image quality of a prototype proton radiography system on a clinical proton delivery system.
methodsWe have developed a clinical prototype proton radiography system designed for integration into efficient clinical workflows. We tested the images obtained by this system for water-equivalent thickness (WET) accuracy, image noise, and spatial resolution. We evaluated the WET accuracy by comparing the average WET and rms error in several regions of interest (ROI) on a proton radiograph of a custom peg phantom. We measured the spatial resolution on a CATPHAN Line Pair phantom and a custom edge phantom by measuring the 10% value of the modulation transfer function (MTF). In addition, we tested the ability to detect proton range errors due to anatomical changes in a patient with a customized CIRS pediatric head phantom and inserts of varying WET placed in the posterior fossae of the brain. We took proton radiographs of the phantom with each insert in place and created difference maps between the resulting images. Integrated proton range was measured from an ROI in the difference maps.
resultsWe measured the WET accuracy of the proton radiographic images to be ±0.2 mm (0.33%) from known values. The spatial resolution of the images was 0.6 lp/mm on the line pair phantom and 1.13 lp/mm on the edge phantom. We were able to detect anatomical changes producing changes in WET as low as 0.6 mm.
conclusionThe proton radiography system produces images with image quality sufficient for pretreatment range consistency verification.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.