An experiment of parallel SPECT data reconstruction

In this work we use a massively parallel architecture for solving the problem of reconstructing human brain sections from experimental data obtained from a Gamma camera equipped with parallel-hole collimators. We compute least-squares regularized solutions by means of weighted conjugate gradient ite...

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Bibliographic Details
Published in:Parallel algorithms and applications Vol. 18; no. 3; pp. 107 - 119
Main Authors: Loli Piccolomini, E., Zama, F.
Format: Journal Article
Language:English
Published: Taylor & Francis Group 01.09.2003
Subjects:
Computed tomography
Conjugate gradients
Distributed memory computing
NPES
Reconstruction
SPECT
ISSN:1063-7192
Online Access:Get full text
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Summary:In this work we use a massively parallel architecture for solving the problem of reconstructing human brain sections from experimental data obtained from a Gamma camera equipped with parallel-hole collimators. We compute least-squares regularized solutions by means of weighted conjugate gradient iterations coupled with a suitable stopping rule. The computations are distributed to the CRAY T3E parallel processors following two different decomposition strategies obtaining high speed up values. This decomposition strategy can be easily extended to a wide family of iterative reconstruction algebraic methods.
ISSN:1063-7192
DOI:10.1080/1063719032000115335