dc.creatorDEPIERRO, AR
dc.date1993
dc.dateJUN
dc.date2014-12-16T11:35:50Z
dc.date2015-11-26T16:05:17Z
dc.date2014-12-16T11:35:50Z
dc.date2015-11-26T16:05:17Z
dc.date.accessioned2018-03-28T22:54:17Z
dc.date.available2018-03-28T22:54:17Z
dc.identifierIeee Transactions On Medical Imaging. Ieee-inst Electrical Electronics Engineers Inc, v. 12, n. 2, n. 328, n. 333, 1993.
dc.identifier0278-0062
dc.identifierWOS:A1993LV99000022
dc.identifier10.1109/42.232263
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/68774
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/68774
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/68774
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1265666
dc.descriptionThe image space reconstruction algorithm (ISRA) was proposed as a modification of the expectation maximization (EM) algorithm based on physical considerations for application in volume emission computed tomography. As a consequence of this modification, ISRA searches for least squares solutions instead of maximizing Poisson likelihoods as the EM algorithm. In this paper, we show that both algorithms may be obtained from a common mathematical framework. We use this fact to extend ISRA for penalized likelihood estimates.
dc.description12
dc.description2
dc.description328
dc.description333
dc.languageen
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.publisherNew York
dc.relationIeee Transactions On Medical Imaging
dc.relationIEEE Trans. Med. Imaging
dc.rightsfechado
dc.rightshttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.sourceWeb of Science
dc.subjectSpace Reconstruction Algorithm
dc.subjectImage-reconstruction
dc.subjectVolume Ect
dc.subjectConvergence
dc.subjectLikelihood
dc.subjectMaximum
dc.titleON THE RELATION BETWEEN THE ISRA AND THE EM ALGORITHM FOR POSITRON EMISSION TOMOGRAPHY
dc.typeArtículos de revistas


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