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Titolo:
A COMPUTATIONAL STUDY OF THE FOCUS-OF-ATTENTION EM-ML ALGORITHM FOR PET RECONSTRUCTION
Autore:
GREGOR J; HUFF DA;
Indirizzi:
UNIV TENNESSEE,DEPT COMP SCI,107 AYRES HALL KNOXVILLE TN 37996
Titolo Testata:
Parallel computing
fascicolo: 9-10, volume: 24, anno: 1998,
pagine: 1481 - 1497
SICI:
0167-8191(1998)24:9-10<1481:ACSOTF>2.0.ZU;2-K
Fonte:
ISI
Lingua:
ENG
Soggetto:
POSITRON EMISSION TOMOGRAPHY; MAXIMUM-LIKELIHOOD RECONSTRUCTION; IMAGE-RECONSTRUCTION; ITERATIVE RECONSTRUCTION; BAYESIAN RECONSTRUCTION; PARALLEL COMPUTERS; SPECT; PROCESSORS; SIEVES;
Keywords:
DISTRIBUTED COMPUTING; EXPECTATION-MAXIMIZATION; IMAGE RECONSTRUCTION; POSITRON EMISSION TOMOGRAPHY;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Citazioni:
39
Recensione:
Indirizzi per estratti:
Citazione:
J. Gregor e D.A. Huff, "A COMPUTATIONAL STUDY OF THE FOCUS-OF-ATTENTION EM-ML ALGORITHM FOR PET RECONSTRUCTION", Parallel computing, 24(9-10), 1998, pp. 1481-1497

Abstract

The expectation-maximization maximum-likelihood (EM-ML) algorithm forimage reconstruction in positron emission tomography (PET) essentially solves a large linear system of equations. In this paper, we study computational aspects of a recently developed preprocessing scheme for focusing the attention, and thus the computational resources, on a subset of the equations and unknowns in order to reduce the storage, computation, and communication requirements of the EM-ML algorithm. The approach is completely data-driven and uses no prior anatomic knowledge. The experimental results are obtained from runs on a small network ofworkstations using simulated phantom data as well as data obtained from a clinical ECAT 921 PET scanner. (C) 1998 Published by Elsevier Science B.V. All rights reserved.

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Documento generato il 04/04/20 alle ore 14:34:23