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Titolo:
IMPROVING THE CONVERGENCE OF ITERATIVE FILTERED BACKPROJECTION ALGORITHMS
Autore:
LALUSH DS; TSUI BMW;
Indirizzi:
UNIV N CAROLINA,DEPT BIOCHEM ENGN,CAMPUS BOX 7575,152 MACNIDER HALL CHAPEL HILL NC 27599 UNIV N CAROLINA,DEPT RADIOL CHAPEL HILL NC 27599
Titolo Testata:
Medical physics
fascicolo: 8, volume: 21, anno: 1994,
pagine: 1283 - 1286
SICI:
0094-2405(1994)21:8<1283:ITCOIF>2.0.ZU;2-H
Fonte:
ISI
Lingua:
ENG
Soggetto:
EMISSION COMPUTED-TOMOGRAPHY; ATTENUATION CORRECTION; RECONSTRUCTION ALGORITHMS; NONUNIFORM ATTENUATION; SPECT; FRAMEWORK;
Keywords:
ITERATIVE OPTIMIZATION; ATTENUATION COMPENSATION; RECONSTRUCTION ALGORITHMS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
15
Recensione:
Indirizzi per estratti:
Citazione:
D.S. Lalush e B.M.W. Tsui, "IMPROVING THE CONVERGENCE OF ITERATIVE FILTERED BACKPROJECTION ALGORITHMS", Medical physics, 21(8), 1994, pp. 1283-1286

Abstract

Several authors have proposed variations of the iterative filtered backprojection (IFBP) reconstruction algorithms claiming fast initial convergence rates. We have found that these algorithms are trying to minimize an unusual squared-error criterion in a suboptimal way. As a result, existing IFBP algorithms are inefficient in the minimization of the criterion, and may become unstable at higher iteration numbers. We show that existing IFBP algorithms can be modified to use the steepestdescent technique by simply optimizing the step size at each iteration. Further gains in convergence rates can be achieved with conjugate gradient IFBP algorithms derived from the same criterion. The steepest descent and conjugate gradient IFBP algorithms are guaranteed to converge, unlike some IFBP algorithms, and will do so in fewer iterations than existing IFBP algorithms.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/01/20 alle ore 13:57:53