Published March 7, 2015 | Version v1
Journal article

Patient-specific stopping power calibration for proton therapy planning based on single-detector proton radiography

  • 1. Department of Medical Physics and Bioengineering, University College London, London (United Kingdom)
  • 2. Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA (United States)
  • 3. Ion Beam Applications (IBA), 3 Chemin du Cyclotron, Louvain la Neuve, B-1348 (Belgium)

Description

A simple robust optimizer has been developed that can produce patient-specific calibration curves to convert x-ray computed tomography (CT) numbers to relative stopping powers (HU-RSPs) for proton therapy treatment planning. The difference between a digitally reconstructed radiograph water-equivalent path length (DRRWEPL) map through the x-ray CT dataset and a proton radiograph (set as the ground truth) is minimized by optimizing the HU-RSP calibration curve. The function of the optimizer is validated with synthetic datasets that contain no noise and its robustness is shown against CT noise. Application of the procedure is then demonstrated on a plastic and a real tissue phantom, with proton radiographs produced using a single detector. The mean errors using generic/optimized calibration curves between the DRRWEPL map and the proton radiograph were 1.8/0.4% for a plastic phantom and −2.1/ − 0.2% for a real tissue phantom. It was then demonstrated that these optimized calibration curves offer a better prediction of the water equivalent path length at a therapeutic depth. We believe that these promising results are suggestive that a single proton radiograph could be used to generate a patient-specific calibration curve as part of the current proton treatment planning workflow. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0031-9155/60/5/1901

Additional details

Identifiers

Publishing Information

Journal Title
Physics in Medicine and Biology
Journal Volume
60
Journal Issue
5
Journal Page Range
p. 1901-1917
ISSN
0031-9155
CODEN
PHMBA7