A Real-time Image Reconstruction System for Particle Treatment Planning Using Proton Computed Tomography (pCT)

Caesar E. Ordoñez, Nicholas Karonis, Kirk Duffin, George Coutrakon, Reinhard Schulte, Robert Johnson, Mark Pankuch

Research output: Contribution to journalConference articlepeer-review

Abstract

Proton computed tomography (pCT) is a novel medical imaging modality for mapping the distribution of proton relative stopping power (RSP) in medical objects of interest. Compared to conventional X-ray computed tomography, where range uncertainty margins are around 3.5%, pCT has the potential to provide more accurate measurements to within 1%. This improved efficiency will be beneficial to proton-therapy planning and pre-treatment verification. A prototype pCT imaging device has recently been developed capable of rapidly acquiring low-dose proton radiographs of head-sized objects. We have also developed an advanced, fast image reconstruction software based on distributed computing that utilizes parallel processors and graphical processing units. The combination of fast data acquisition and fast image reconstruction will enable the availability of RSP images within minutes for use in clinical settings. The performance of our image reconstruction software has been evaluated using data collected by the prototype pCT scanner from several phantoms.

Original languageEnglish
Pages (from-to)193-199
Number of pages7
JournalPhysics Procedia
Volume90
DOIs
StatePublished - 2017
EventConference on the Application of Accelerators in Research and Industry, CAARI 2016 - Fort Worth, United States
Duration: Oct 30 2016Nov 4 2016

ASJC Scopus Subject Areas

  • General Physics and Astronomy

Keywords

  • proton computed tomography
  • relative stopping power

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