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Titolo:
Theoretical study of lesion detectability of MAP reconstruction using computer observers
Autore:
Qi, JY; Huesman, RH;
Indirizzi:
Lawrence Berkeley Natl Lab, Ctr Funct Imaging, Berkeley, CA 94720 USA Lawrence Berkeley Natl Lab Berkeley CA USA 94720 , Berkeley, CA 94720 USA
Titolo Testata:
IEEE TRANSACTIONS ON MEDICAL IMAGING
fascicolo: 8, volume: 20, anno: 2001,
pagine: 815 - 822
SICI:
0278-0062(200108)20:8<815:TSOLDO>2.0.ZU;2-Y
Fonte:
ISI
Lingua:
ENG
Soggetto:
POSITRON-EMISSION-TOMOGRAPHY; BAYESIAN IMAGE-RECONSTRUCTION; PENALIZED MAXIMUM-LIKELIHOOD; FILTERED BACKPROJECTION; DETECTION PERFORMANCE; HEPATIC SPECT; PET IMAGES; NOISE; QUALITY; OPTIMIZATION;
Keywords:
computer observer; lesion detection; MAP estimation; positron emission tomography;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Engineering, Computing & Technology
Citazioni:
36
Recensione:
Indirizzi per estratti:
Indirizzo: Qi, JY Lawrence Berkeley Natl Lab, Ctr Funct Imaging, 1 Cyclotron Rd,MS 55-121, Berkeley, CA 94720 USA Lawrence Berkeley Natl Lab 1 Cyclotron Rd,MS 55-121 Berkeley CA USA 94720
Citazione:
J.Y. Qi e R.H. Huesman, "Theoretical study of lesion detectability of MAP reconstruction using computer observers", IEEE MED IM, 20(8), 2001, pp. 815-822

Abstract

The low signal-to-noise ratio (SNR) in emission data has stimulated the development of statistical image reconstruction methods based on the maximum a posteriori (MAP) principle. Experimental examples have shown that statistical methods improve image quality compared to the conventional filtered backprojection (FBP) method. However, these results depend on isolated data sets. Here we study the lesion detectability of MAP reconstruction theoretically, using computer observers. These theoretical results can be applied todifferent object structures. They show that for a quadratic smoothing prior, the lesion detectability using the prewhitening observer is independent of the smoothing parameter and the neighborhood of the prior, while the nonprewhitening observer exhibits an optimum smoothing point. We also compare the results to those of FBP reconstruction. The comparison shows that for ideal positron emission tomography (PET) systems (where data are true line integrals of the tracer distribution) the MAP reconstruction has a higher SNR for lesion detection than FBP reconstruction due to the modeling of the Poisson noise. For realistic systems, MAP reconstruction further benefits from accurately modeling the physical photon detection process in PET.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/01/20 alle ore 23:05:50