Computed tomography with a low-intensity proton flux: Results of a Monte Carlo simulation study

Reinhard W. Schulte, Márgio C.Loss Klock, Vladimir Bashkirov, Ivan Evseev, Joaquim T. De Assis, Olga Yevseyeva, Ricardo Tadeu Lopes, Tianfang Li, David C. Williams, Andrew J. Wroe, Hugo Reuters Schelin

Research output: Contribution to journalConference articlepeer-review

Abstract

Conformal proton radiation therapy requires accurate prediction of the Bragg peak position. This problem may be solved by using protons rather than conventional x-rays to determine the relative electron density distribution via proton computed tomography (proton CT). However, proton CT has its own limitations, which need to be carefully studied before this technique can be introduced into routine clinical practice. In this work, we have used analytical relationships as well as the Monte Carlo simulation tool GEANT4 to study the principal resolution limits of proton CT. The GEANT4 simulations were validated by comparing them to predictions of the Bethe Bloch theory and Tschalar's theory of energy loss straggling, and were found to be in good agreement. The relationship between phantom thickness, initial energy, and the relative electron density uncertainty was systematically investigated to estimate the number of protons and dose needed to obtain a given density resolution. The predictions of this study were verified by simulating the performance of a hypothetical proton CT scanner when imaging a cylindrical water phantom with embedded density inhomogeneities. We show that a reasonable density resolution can be achieved with a relatively small number of protons, thus providing a possible dose advantage over x-ray CT.

Original languageEnglish
Article number30
Pages (from-to)153-164
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5541
DOIs
StatePublished - 2004
EventPenetrating Radiation Systems and Applications VI - Denver, CO, United States
Duration: Aug 4 2004Aug 5 2004

ASJC Scopus Subject Areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Density resolution
  • Monte Carlo simulation
  • Proton computed tomography

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