Published February 11, 2017 | Version v1
Journal article

Proton computed tomography images with algebraic reconstruction

  • 1. Physics and Astronomy Department, University of Florence, Florence (Italy)
  • 2. INFN - Florence Division, Florence (Italy)
  • 3. INFN - Catania Division, Catania (Italy)
  • 4. Chemistry and Pharmacy Department, University of Sassari, Sassari (Italy)
  • 5. INFN - Laboratori Nazionali del Sud, Catania (Italy)
  • 6. Physics and Astronomy Department, University of Catania, Catania (Italy)
  • 7. INFN – Cagliari Division, Cagliari (Italy)
  • 8. SOD Fisica Medica, Azienda Ospedaliero-Universitaria Careggi, Firenze (Italy)
  • 9. Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Florence (Italy)
  • 10. Fisica Sanitaria, Azienda Ospedaliero-Universitaria Senese, Siena (Italy)

Description

A prototype of proton Computed Tomography (pCT) system for hadron-therapy has been manufactured and tested in a 175 MeV proton beam with a non-homogeneous phantom designed to simulate high-contrast material. BI-SART reconstruction algorithms have been implemented with GPU parallelism, taking into account of most likely paths of protons in matter. Reconstructed tomography images with density resolutions r.m.s. down to ~1% and spatial resolutions <1 mm, achieved within processing times of ~15′ for a 512×512 pixels image prove that this technique will be beneficial if used instead of X-CT in hadron-therapy.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nima.2016.05.056

Additional details

Identifiers

DOI
10.1016/j.nima.2016.05.056;
PII
S0168-9002(16)30445-4;

Publishing Information

Journal Title
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
Journal Volume
845
Journal Page Range
p. 652-655
ISSN
0168-9002
CODEN
NIMAER

Conference

Title
Vienna Conference on Instrumentation
Acronym
VCI 2016
Dates
15-16 Feb 2016
Place
Vienna (Austria)

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.