1. A method for quantitative evaluations of scanning‐proton dose distributions
- Author
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Todd A. DeWees, Daniel G. Robertson, Wei Liu, Bryce C. Allred, Jiajian Shen, Jie Shan, and Joshua B. Stoker
- Subjects
Image registration ,computer.software_genre ,Standard deviation ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Voxel ,Histogram ,Technical Note ,Proton Therapy ,Humans ,Radiology, Nuclear Medicine and imaging ,Instrumentation ,Mathematics ,Radiation ,Pixel ,Radiotherapy Planning, Computer-Assisted ,Isocenter ,gamma test ,Radiotherapy Dosage ,Radius ,PSQA ,Pencil (optics) ,030220 oncology & carcinogenesis ,Technical Notes ,Protons ,computer ,Algorithm ,Algorithms ,proton - Abstract
Purpose Patient‐Specific Quality Assurance (PSQA) measurement analysis depends on generating metrics representative of calculation and measurement agreement. Considering the heightened capability of discrete spot scanning protons to modulate individual dose voxels, a dose plane comparison approach that maintained all of the capabilities of the well‐established γ test, but that also provided a more intuitive error parameterization, was desired. Methods Analysis was performed for 300 dose planes compared by searching all calculated points within a fixed radius around each measured pixel to determine the dose deviation. Dose plane agreement is reported as the dose difference minimum (DDM) within an empirically established search radius: ΔDmin(r). This per‐pixel metric is aggregated into a histogram binned by dose deviation. Search‐radius criteria were based on a weighted‐beamlet 3σ spatial deviation from imaging isocenter. Equipment setup error was mitigated during analysis using tracked image registration, ensuring beamlet deviations to be the dominant source of spatial error. The percentage of comparison points with
- Published
- 2021