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Titolo:
A GENERALIZED GIBBS PRIOR FOR MAXIMUM A-POSTERIORI RECONSTRUCTION IN SPECT
Autore:
LALUSH DS; TSUI BMW;
Indirizzi:
UNIV N CAROLINA,DEPT BIOMED ENGN,CAMPUS BOX 7575,152 MACNIDER HALL CHAPEL HILL NC 27599 UNIV N CAROLINA,DEPT RADIOL CHAPEL HILL NC 27599
Titolo Testata:
Physics in medicine and biology
fascicolo: 6, volume: 38, anno: 1993,
pagine: 729 - 741
SICI:
0031-9155(1993)38:6<729:AGGPFM>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
IMAGE-RECONSTRUCTION; EMISSION TOMOGRAPHY; EM ALGORITHM;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
14
Recensione:
Indirizzi per estratti:
Citazione:
D.S. Lalush e B.M.W. Tsui, "A GENERALIZED GIBBS PRIOR FOR MAXIMUM A-POSTERIORI RECONSTRUCTION IN SPECT", Physics in medicine and biology, 38(6), 1993, pp. 729-741

Abstract

In this paper, we introduce a Gibbs prior for use in MAP (maximum a posteriori) reconstruction in SPECT. This new prior, with three parameters, is able to approximate the results of previously-proposed priors with two parameters, as well as a continuum of others. Also, it allowsthe user increased flexibility in selecting the properties to be emphasized in the final reconstructed image estimate. The additional flexibility offered by the new prior is important in addressing the problemof selecting a prior and its associated parameters in a clinical situation. The paper demonstrates the importance of the derivative potential function (DPF) of the Gibbs distribution in determining which properties will be emphasized in the iterated image estimates. The effects of each of the three parameters are demonstrated on reconstructions from acquired SPECT data. We conclude that the parameters must be chosencarefully with consideration for the object distribution and the relative requirements for low-contrast detail, smoothing and edge sharpness in the reconstructed image.

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Documento generato il 17/01/20 alle ore 20:08:53