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Proceedings Paper

Improvement of the performance and accuracy of PET Monte Carlo simulations
Author(s): Habib Zaidi; Claire Labbe; Christian Morel
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Paper Abstract

The many applications of Monte Carlo modeling in PET arouse to increase the accuracy and computational speed of Monte Carlo codes. The accuracy of Monte Carlo simulations strongly depends on cross-section libraries used for photon transport calculations. Furthermore, large amounts of CPU time are required to obtain meaningful simulated data. We present a comparison of different photon cross-section libraries together with the parallel implementation of the 3D PET Monte Carlo simulator, Eidolon on a MIMD parallel architecture. Different photon cross-section libraries and parametrizations show quite large variations as compared to the most recent EPDL97 nuclear data files for energies from 1 keV to 1 MeV. Together with the optimization of the computing time performances of the Monte Carlo software, photon transport in 3D PET could be efficiently modeled to better understand scatter correction techniques. In implementing Eidolon on a parallel platform, a linear speedup factor was achieved with the number of computing nodes.

Paper Details

Date Published: 28 May 1999
PDF: 12 pages
Proc. SPIE 3659, Medical Imaging 1999: Physics of Medical Imaging, (28 May 1999); doi: 10.1117/12.349537
Show Author Affiliations
Habib Zaidi, Geneva Univ. Hospital (Switzerland)
Claire Labbe, Geneva Univ. Hospital (Switzerland)
Christian Morel, Geneva Univ. Hospital (Switzerland)

Published in SPIE Proceedings Vol. 3659:
Medical Imaging 1999: Physics of Medical Imaging
John M. Boone; James T. Dobbins III, Editor(s)

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