SuSi : A Monte Carlo model of a novel proton CT Scanner using Geant4
| dc.contributor.author | Price, Tony | |
| dc.contributor.author | Taylor, Jon | |
| dc.contributor.author | Esposito, Michela | |
| dc.contributor.author | Poludniowski, Gavin | |
| dc.contributor.author | Jeyasingam, Jeyasugiththan | |
| dc.date.accessioned | 2021-02-22T17:40:01Z | |
| dc.date.available | 2021-02-22T17:40:01Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Proton radiotherapy uses beams of high energy protons to treat cancer. It is specifically used for cancers in children and near delicate structures due to the ability of delivering a highly focused dose to the cancer volume. The PRaVDA consortium are building an imaging device to image the patients with protons and form a proton Computed Tomography (pCT) image which will reduce the uncertainties on the treatment and further enhance patient care. Here we present the results of a Monte Carlo simulation of a novel proton Computerized Tomography instrument. We will give a brief overview of our pCT system whilst primarily focusing on our Monte Carlo modelling efforts using Geant4 to develop a full scale detector model to replicate our final design, the PRaVDASuperSimulation (SuSi). We will outline the results from modelling the sensors’ response and present a reconstructed proton CT image. We will also stress the importance of having a cluster such as BlueBEAR to perform these studies by illustrating the real time benefits of running the simulation compared to a single core machine. | en_US |
| dc.identifier.uri | http://archive.cmb.ac.lk/handle/70130/5071 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Birmingham, UK | en_US |
| dc.relation.ispartofseries | 5th Annual BEAR PGR Conference 2014; | |
| dc.subject | Proton CT | en_US |
| dc.subject | Monte Carlo | en_US |
| dc.subject | Proton radiotherapy | en_US |
| dc.subject | PRaVDA | en_US |
| dc.title | SuSi : A Monte Carlo model of a novel proton CT Scanner using Geant4 | en_US |
| dc.type | Article | en_US |
