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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Vydané v:Parallel algorithms and applications Ročník 18; číslo 3; s. 107 - 119
Hlavní autori: Loli Piccolomini, E., Zama, F.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Taylor & Francis Group 01.09.2003
Predmet:
Computed tomography
Conjugate gradients
Distributed memory computing
NPES
Reconstruction
SPECT
ISSN:1063-7192
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Shrnutí: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