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.identifier.uri |
http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5071 |
|
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.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 |