%0 Journal Article
%T Influence of the background in Compton camera images for proton therapy treatment monitoring
%A Borja-Lloret, M.
%A Barrientos, L.
%A Bernabeu, J.
%A Lacasta, C.
%A Muñoz, E.
%A Ros, A.
%A Roser, J.
%A Viegas, R.
%A Llosa, G.
%J Physics in Medicine and Biology
%D 2023
%V 68
%N 14
%I IOP Publishing Ltd
%@ 0031-9155
%G English
%F Borja-Lloret_etal2023
%O WOS:001022671300001
%O exported from refbase (https://references.ific.uv.es/refbase/show.php?record=5571), last updated on Thu, 20 Jul 2023 16:16:41 +0000
%X Objective. Background events are one of the most relevant contributions to image degradation in Compton camera imaging for hadron therapy treatment monitoring. A study of the background and its contribution to image degradation is important to define future strategies to reduce the background in the system. Approach. In this simulation study, the percentage of different kinds of events and their contribution to the reconstructed image in a two-layer Compton camera have been evaluated. To this end, GATE v8.2 simulations of a proton beam impinging on a PMMA phantom have been carried out, for different proton beam energies and at different beam intensities. Main results. For a simulated Compton camera made of Lanthanum (III) Bromide monolithic crystals, coincidences caused by neutrons arriving from the phantom are the most common type of background produced by secondary radiations in the Compton camera, causing between 13% and 33% of the detected coincidences, depending on the beam energy. Results also show that random coincidences are a significant cause of image degradation at high beam intensities, and their influence in the reconstructed images is studied for values of the time coincidence windows from 500 ps to 100 ns. Significance. Results indicate the timing capabilities required to retrieve the fall-off position with good precision. Still, the noise observed in the image when no randoms are considered make us consider further background rejection methods.
%K Compton imaging
%K Compton camera
%K proton therapy
%K treatment monitoring
%K Monte Carlo simulation
%K image reconstruction
%K background
%R 10.1088/1361-6560/ace024
%U https://doi.org/10.1088/1361-6560/ace024
%P 144001-16pp