From prompt gamma distribution to dose: a novel approach combining an evolutionary algorithm and filtering based on Gaussian-powerlaw convolutions.
Range verification and dose monitoring in proton therapy is considered as highly desirable. Different methods have been developed worldwide, like particle therapy positron emission tomography (PT-PET) and prompt gamma imaging (PGI). In general, these methods allow for a verification of the proton range. However, quantification of the dose from these measurements remains challenging. For the first time, we present an approach for estimating the dose from prompt γ-ray emission profiles. It combines a filtering procedure based on Gaussian-powerlaw convolution with an evolutionary algorithm. By means of convolving depth dose profiles with an appropriate filter kernel, prompt γ-ray depth profiles are obtained. In order to reverse this step, the evolutionary algorithm is applied. The feasibility of this approach is demonstrated for a spread-out Bragg-peak in a water target.
Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiation Physics, Bautzner Landstrasse 400, 01328 Dresden, Germany.
A
A
Schumann
M
M
Priegnitz
S
S
Schoene
W
W
Enghardt
H
H
Rohling
F
F
Fiedler
D000465:Algorithms; D003198:Computer Simulation; D005374:Filtration; D005720:Gamma Rays / Q000627:therapeutic use*; D006801:Humans; D016011:Normal Distribution; D049268:Positron-Emission Tomography / Q000379:methods; D061766:Proton Therapy / Q000379:methods*; D011829:Radiation Dosage; D013223:Statistics as Topic; D014867:Water / Q000737:chemistry*
D014867:Water