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Iterative Regularization Methods for a Discrete Inverse Problem in MRI

dc.creatorLeit˜ao, A.
dc.creatorZubelli, J.P.
dc.date2008-07-01
dc.date.accessioned2019-05-03T12:36:42Z
dc.date.available2019-05-03T12:36:42Z
dc.identifierhttp://revistas.ufro.cl/ojs/index.php/cubo/article/view/1520
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/84251
dc.descriptionWe propose and investigate efficient numerical methods for inverse problems related to Magnetic Resonance Imaging (MRI). Our goal is to extend the recent convergence results for the Landweber-Kaczmarz method obtained in [7], in order to derive a convergent iterative regularization method for an inverse problem in MRI.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad de La Frontera. Temuco, Chile.en-US
dc.relationhttp://revistas.ufro.cl/ojs/index.php/cubo/article/view/1520/1374
dc.sourceCUBO, A Mathematical Journal; Vol. 10 Núm. 2 (2008): CUBO, A Mathematical Journal; 135–144es-ES
dc.sourceCUBO, A Mathematical Journal; Vol 10 No 2 (2008): CUBO, A Mathematical Journal; 135–144en-US
dc.source0719-0646
dc.source0716-7776
dc.titleIterative Regularization Methods for a Discrete Inverse Problem in MRIen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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