Monte Carlo studies of a proton computed tomography system

G. A.Pablo Cirrone, Giacomo Cuttone, Giuliana Candiano, Francesco Di Rosa, Salvátore Lo Nigro, Domenico Lo Presti, Nunzio Randazzo, Valeria Sipala, Mara Bruzzi, David Menichelli, Monica Scaringella, Vladimir Bashkirov, R. David Williams, Hartmut F.W. Sadrozinski, Jason Heimann, Jason Feldt, Nate Blumenkrantz, C. Talamonti, Reinhard Schulte

Research output: Contribution to journalArticlepeer-review

Abstract

Proton therapy is a precise forms of radiation therapy that makes use of high energy proton compared to the conventional, more commonly used and less precise x-ray and electron beams. On the other hand, to fully exploit the proton therapy advantages, very accurate quality controls of the treatments are required. These are mainly related to the dose calculations and treatment planning. Actually dose calculations are routinely performed on the basis of X-Ray computed tomography while a big improvement could be obtained with the direct use of protons as the imaging system. In this work we report the results of Monte Carlo simulations for the study of an imaging system based on the use of high energy protons: the proton Computed Tomography (pCT). The main limitation of the pCT and the current adopted technical solutions, based on the use of the Most Likely Path (MLP) approximation are illustrated. Simulation results are compared with experimental data obtained with a first prototype of pCT system tested with 200 MeV proton beams available at the Loma Linda University Medical Center (LLUMC) (CA).

Original languageEnglish
Pages (from-to)1487-1491
Number of pages5
JournalIEEE Transactions on Nuclear Science
Volume54
Issue number5
DOIs
StatePublished - Oct 2007

ASJC Scopus Subject Areas

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Electrical and Electronic Engineering

Keywords

  • Computed tomography
  • GEANT4
  • Monte Carlo
  • Proton

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