Year: 2022
Type: preprint
Abstract: Proton therapy is an emerging method in cancer therapy. One of the main developments is to increase the accuracy of the Bragg-peak position calculation, which requires more precise relative stopping power (RSP) measurements. A promising choice is the application of proton computed tomography (pCT) systems which takes the images under similar conditions, as they use the same irradiation device and hadron beam for imaging and treatment. A key aim is to develop a precise image reconstruction algorithm for pCT systems to reach their maximal performance. In this work, an iterative image reconstruction algorithm, based on the Richardson-Lucy iteration is proposed for the first time for proton CT image reconstruction. Monte Carlo (MC) simulations of CTP528 and CTP404 phantoms were used to benchmark the proposed method. In the case of an idealized detector setup, using a 1 mm pitch grid, 4.88 lp/cm spatial resolution and 0.66% average RSP uncertainty was achieved. The present method provides a promising proof-of-concept candidate for compromise between accuracy and speed with several further development directions.
Source: arXiv (Cornell University)
Authors: Bíró, Gábor, Sudár, Ákos, Jólesz, Zsófia, Papp, Gábor, Barnaföldi, Gergely Gábor
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: Deutsches Krebsforschungszentrum, Technische Universität Kaiserslautern, Budapesti Műszaki és Gazdaságtudományi Egyetem, Trond Mohn stiftelse, Høgskulen på Vestlandet, China Three Gorges University, Chulalongkorn University, Technische Universiteit Eindhoven, Suranaree University of Technology, Universitetet i Bergen, Universitetet i Oslo, Norges Forskningsråd, Eötvös Loránd Tudományegyetem, Haukeland Universitetssjukehus, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, National Institute of Science Education and Research, Faculty of Medicine, Chulalongkorn University, GSI Helmholtzzentrum für Schwerionenforschung, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, National Research, Development and Innovation Office, Division of Mathematical Sciences
OpenAlex ID: W4310628643