From prompt gamma distribution to dose: a novel approach combining an evolutionary algorithm and filtering based on Gaussian-powerlaw convolutions. (12th September 2016)

• Record Type: Journal Article
• Authors: Schumann, A; Priegnitz, M; Schoene, S; Enghardt, W; Rohling, H; Fiedler, F
• Is Part Of: Physics in medicine & biology. Volume 61:Number 19(2016:Oct.)
• Page Start: 6919
• Page End: 6934
• Publication Date: 2016-09-12
• Subjects: proton therapy -- prompt gamma imaging -- dose estimation -- gaussian-powerlaw convolution -- evolutionary algorithm -- filter kernel; Biophysics -- Periodicals; Medical physics -- Periodicals; 610.153
• DOI: 10.1088/0031-9155/61/19/6919
• Languages: English
• ISSNs: 0031-9155

Abstract

Abstract: 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.