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Titolo:
MEDIAN ROOT PRIOR AND ORDERED SUBSETS IN BAYESIAN IMAGE-RECONSTRUCTION OF SINGLE-PHOTON EMISSION TOMOGRAPHY
Autore:
SERET A;
Indirizzi:
FREE UNIV BRUSSELS,HOP ERASME,SERV RADIOISOTOPES,808 ROUTE LENNIK B-1070 BRUSSELS BELGIUM
Titolo Testata:
European journal of nuclear medicine
fascicolo: 3, volume: 25, anno: 1998,
pagine: 215 - 219
SICI:
0340-6997(1998)25:3<215:MRPAOS>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Soggetto:
ALGORITHM; SPECT;
Keywords:
EMISSION TOMOGRAPHY; MEDIAN ROOT PRIOR; ORDERED SUBSETS; ITERATIVE BAYESIAN RECONSTRUCTION; MAXIMUM LIKELIHOOD-EXPECTATION MAXIMIZATION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
9
Recensione:
Indirizzi per estratti:
Citazione:
A. Seret, "MEDIAN ROOT PRIOR AND ORDERED SUBSETS IN BAYESIAN IMAGE-RECONSTRUCTION OF SINGLE-PHOTON EMISSION TOMOGRAPHY", European journal of nuclear medicine, 25(3), 1998, pp. 215-219

Abstract

Median root prior allows Bayesian image reconstruction without any a priori knowledge of the final solution. It limits the noise generated by maximum likelihood-expectation maximization, including when the ordered subsets accelerating procedure is used. Therefore the number of iterations can be optimized to obtain the best resolution for cold lesions. Moreover, the higher the number of subsets, the better the contrast, with optimal results for subsets containing between four and eightprojections.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 30/03/20 alle ore 13:02:16