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Titolo:
4D maximum a posteriori reconstruction in dynamic SPECT using a compartmental model-based prior
Autore:
Kadrmas, DJ; Gullberg, GT;
Indirizzi:
Univ Utah, Dept Radiol, Med Imaging Res Lab, CAMT, Salt Lake City, UT 84108 USA Univ Utah Salt Lake City UT USA 84108 CAMT, Salt Lake City, UT 84108 USA
Titolo Testata:
PHYSICS IN MEDICINE AND BIOLOGY
fascicolo: 5, volume: 46, anno: 2001,
pagine: 1553 - 1574
SICI:
0031-9155(200105)46:5<1553:4MAPRI>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
KINETIC PARAMETER-ESTIMATION; MYOCARDIAL PERFUSION SPECT; CARDIAC SPECT; IMAGE-RECONSTRUCTION; EM ALGORITHM; PROJECTION MEASUREMENTS; EMISSION TOMOGRAPHY; NOISE PROPERTIES; INPUT FUNCTION; BLOOD-FLOW;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
41
Recensione:
Indirizzi per estratti:
Indirizzo: Kadrmas, DJ Univ Utah, Dept Radiol, Med Imaging Res Lab, CAMT, 729 ArapeenDr, Salt Lake City, UT 84108 USA Univ Utah 729 Arapeen Dr Salt Lake City UT USA 84108 84108 USA
Citazione:
D.J. Kadrmas e G.T. Gullberg, "4D maximum a posteriori reconstruction in dynamic SPECT using a compartmental model-based prior", PHYS MED BI, 46(5), 2001, pp. 1553-1574

Abstract

A 4D ordered-subsets maximum a posteriori (OSMAP) algorithm for dynamic SPECT is described which uses a temporal prior that constrains each voxel's behaviour in time to conform to a compartmental model. No a priori limitations on kinetic parameters are applied; rather, the parameter estimates evolve as the algorithm iterates to a solution. The estimated parameters and time-activity curves are used within the reconstruction algorithm to model changes in the activity distribution as the camera rotates, avoiding artefactsdue to inconsistencies of data between projection views. This potentially allows for fewer, longer-duration scans to be used and may have implications for noise reduction. The algorithm was evaluated qualitatively using dynamic Tc-99m-teboroxime SPECT scans in two patients, and quantitatively usinga series of simulated phantom experiments. The OSMAP algorithm resulted inimages with better myocardial uniformity and definition, gave time-activity curves with reduced noise variations, and provided wash-in parameter estimates with better accuracy and lower statistical uncertainty than those obtained from conventional ordered-subsets expectation-maximization (OSEM) processing followed by compartmental modelling. The new algorithm effectively removed the bias in k(21) estimates due to inconsistent projections for sampling schedules as slow as 60 s per timeframe, but no improvement in wash-out parameter estimates was observed in this work. The proposed dynamic OSMAP algorithm provides a flexible framework which may benefit a variety of dynamic tomographic imaging applications.

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Documento generato il 23/01/20 alle ore 18:29:22