Genetic algorithm as a tool for detection setup optimisation for prompt-gamma imaging in proton therapy: SiFi Compton camera case study
Physics in Medicine and Biology, vol. 70, pp. 145015
Abstract
Abstract Objective. Proton therapy is a precision-focused cancer treatment where accurate proton beam range monitoring is critical to ensure effective dose delivery. This can be achieved by prompt gamma (PG) detection with a Compton camera like the Silicon Photomultiplier and Scintillating Fiber based Compton Camera (SiFi-CC). This study aims to show the feasibility of optimising the geometry of SiFi-CC Compton camera for verification of dose distribution via PG detection a genetic algorithm (GA). Approach. The SiFi-CC key geometric parameters for optimisation with the GA are the source-to-scatterer and scatterer-to-absorber distances, and the module thicknesses. The optimisation process was conducted with a software framework based on the Geant4 toolkit, which included detailed and realistic modelling of gamma interactions, detector response, and further steps such as event selection and image reconstruction. The performance of each individual configuration was evaluated using a fitness function incorporating factors related to gamma detection efficiency and image resolution. Results. The GA-optimised SiFi-CC configuration demonstrated the capability to detect a 5 mm proton beam range shift with a 2 mm resolution using 5 × 10 8 protons. The best-performing geometry, with 16 fibre layers in the scatterer, 36 layers in the absorber, source-to-scatterer distance 150 mm and scatterer-to-absorber distance 120 mm, has an imaging sensitivity of 5.58(1) × 10−5. Significance. This study demonstrates that the SiFi-CC setup, optimised through a GA, can reliably detect clinically relevant proton beam range shifts, improving real-time range verification accuracy in proton therapy. The presented implementation of a GA is a systematic and feasible way of searching for a SiFi-CC geometry that shows the best performance.
Authors 8
-
Affiliation as printed
III. Physikalisches Institut B, RWTH Aachen University, Aachen, Germany
III. Physikalisches Institut B, RWTH Aachen University, RWTH Aachen, Aachen, 52056, GERMANY
-
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Forschungszentrum Jülich, Jülich, Germany
III. Physikalisches Institut B, RWTH Aachen University, Aachen, Germany
III. Physikalisches Institut B, RWTH Aachen University, RWTH Aachen, Aachen, 52056, GERMANY
-
Affiliation as printed
III. Physikalisches Institut B, RWTH Aachen University, Aachen, Germany
Physics Institute III B, RWTH Aachen University, Templergraben 55, Aachen, 52056, GERMANY
-
Affiliation as printed
Doctoral School of Exact and Natural Sciences, Jagiellonian University, Kraków, Poland
Marian Smoluchowski Institute of Physics, Jagiellonian University, Kraków, Poland
Marian Smoluchowski Institute of Physics, Jagiellonian University in Kraków, ul. Łojasiewicza 11, Kraków, Małopolska, 30-348, POLAND
-
Affiliation as printed
Marian Smoluchowski Institute of Physics, Jagiellonian University, Kraków, Poland
Marian Smoluchowski Institute of Physics, Jagiellonian University, ul. Łojasiewicza 11, Kraków, Małopolskie, 30-348, POLAND
-
Affiliation as printed
III. Physikalisches Institut B, RWTH Aachen University, Aachen, Germany
III. Physikalisches Institut B, RWTH Aachen University, RWTH Aachen, Aachen, Nordrhein-Westfalen, 52056, GERMANY
-
Affiliation as printed
Marian Smoluchowski Institute of Physics, Jagiellonian University, Kraków, Poland
Marian Smoluchowski Institute of Physics, Jagiellonian University, ul. Łojasiewicza 11, Kraków, Małopolskie, 30-348, POLAND
-
Affiliation as printed
Marian Smoluchowski Institute of Physics, Jagiellonian University, Kraków, Poland
Marian Smoluchowski Institute of Physics, Jagiellonian University, ul. Łojasiewicza 11, Kraków, Małopolskie, 30-348, POLAND
Cited by 1 stored of 1
1 result
No patents citing this paper on Lens.org (checked 2026-10-06).