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Validation of the Small Animal Biospace Gamma Imager Model Using GATE Monte Carlo Simulations on the Grid

Abstract : Monte Carlo simulations are nowadays widely used in the field of nuclear medicine. They are valuable for accurately reproducing experimental data, but at the expense of a long computing time. An efficient solution for shorter elapsed time was recently proposed: grid computing. The aim of this work is to validate a Monte Carlo simulation of the Biospace small animal γ Imager and to confirm the usefulness of grid computing for such a study. Simulated data obtained by the validated model of the gamma camera will enable to investigate new algorithms such as scatter and attenuation correction, and reconstruction methods. Good matches between measured and simulated data were achieved and a crunching factor as high as 70 was achieved on a campus grid.
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http://hal.in2p3.fr/in2p3-00346202
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Submitted on : Thursday, December 11, 2008 - 11:23:16 AM
Last modification on : Thursday, November 19, 2020 - 3:56:07 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 4:17:01 PM

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  • HAL Id : in2p3-00346202, version 1

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Joe Aoun, Vincent Breton, L. Desbat, B. Bzeznik, M. Leabadand, et al.. Validation of the Small Animal Biospace Gamma Imager Model Using GATE Monte Carlo Simulations on the Grid. Medical imaging on grids: achievements and perspectives, MICCAI-Grid Workshop, Sep 2008, New York, United States. ⟨in2p3-00346202⟩

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