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Titolo:
An EM algorithm for estimating SPECT emission and transmission parameters from emission data only
Autore:
Krol, A; Bowsher, JE; Manglos, SH; Feiglin, DH; Tornai, MP; Thomas, ED;
Indirizzi:
SUNY Upstate Med Univ, Dept Radiol, Syracuse, NY 13210 USA SUNY Upstate Med Univ Syracuse NY USA 13210 adiol, Syracuse, NY 13210 USA Duke Univ, Med Ctr, Dept Radiol, Durham, NC 27710 USA Duke Univ Durham NCUSA 27710 Med Ctr, Dept Radiol, Durham, NC 27710 USA
Titolo Testata:
IEEE TRANSACTIONS ON MEDICAL IMAGING
fascicolo: 3, volume: 20, anno: 2001,
pagine: 218 - 232
SICI:
0278-0062(200103)20:3<218:AEAFES>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
MAXIMUM-LIKELIHOOD RECONSTRUCTION; ATTENUATION CORRECTION; IMAGE-RECONSTRUCTION; BAYESIAN RECONSTRUCTION; LINE SOURCE; DIFFERENTIAL ATTENUATION; COMPUTERIZED-TOMOGRAPHY; TISSUE ATTENUATION; BEAM COLLIMATION; ORDERED SUBSETS;
Keywords:
attenuation maps; EM; multiple sources; SPECT;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Engineering, Computing & Technology
Citazioni:
65
Recensione:
Indirizzi per estratti:
Indirizzo: Krol, A SUNY Upstate Med Univ, Dept Radiol, 750 E Adams St, Syracuse, NY 13210 USA SUNY Upstate Med Univ 750 E Adams St Syracuse NY USA 13210 210 USA
Citazione:
A. Krol et al., "An EM algorithm for estimating SPECT emission and transmission parameters from emission data only", IEEE MED IM, 20(3), 2001, pp. 218-232

Abstract

A maximum-likelihood (MI,) expectation-maximization (EM) algorithm (calledEM-IntraSPECT) is presented for simultaneously estimating single photon emission computed tomography (SPECT) emission and attenuation parameters fromemission data alone, The algorithm uses the activity within the patient astransmission tomography sources, with which attenuation coefficients can be estimated. For this initial study, EM-IntraSPECT was tested on computer-simulated attenuation and emission maps representing a simplified human thorax as well as on SPECT data obtained from a physical phantom, Two evaluations were performed, First, to corroborate the idea of reconstructing attenuation parameters from emission data, attenuation parameters (mu) were estimated with the emission intensities (lambda) fixed at their true values, Accurate reconstructions of attenuation parameters were obtained. Second, emission parameters lambda and attenuation parameters mu were simultaneously estimated from the emission data alone. In this case there was crosstalk between estimates of lambda and mu and final estimates of X and mu depended on initial values. Estimates degraded significantly as the support extended outfarther from the body, and an explanation for this is proposed. in the EM-IntraSPECT reconstructed attenuation images, the lungs, spine, and soft tissue were readily distinguished and had approximately correct shapes and sizes. As compared with standard EM reconstruction assuming a fix uniform attenuation map, EM-IntraSPECT provided more uniform estimates of cardiac activity in the physical phantom study and in the simulation study with tight support, but less uniform estimates with a broad support. The new EM algorithm derived here has additional applications, including reconstructing emission and transmission projection data under a unified statistical model.

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Documento generato il 25/02/20 alle ore 08:11:22