Mr-dti rician denoising

dc.creatorMartín, Adriana
dc.creatorGaramendi, Juan Francisco
dc.creatorSchiavi, Emanuele
dc.date.accessioned2019-06-28T04:07:24Z
dc.date.available2019-06-28T04:07:24Z
dc.date.created2019-06-28T04:07:24Z
dc.date.issued2013
dc.identifierhttps://repositorio.unal.edu.co/handle/unal/39594
dc.identifierhttp://bdigital.unal.edu.co/29691/
dc.description.abstractIn this work we tackle the problem of Magnetic Resonance Images (MRI) Rician denoising to enhance Diffusion Tensor Image (DTI) reconstruction. In a variational framework based on the Total Variation operator, the model of the Rician noise leads to the resolution of a highly nonlinear equation associated to the energy minimization problem. An iterative algorithm is proposed and validated on synthetic images. Finally the application to real Diffusion Weighted Images (DWI) is considered.
dc.languagespa
dc.publisherUniversidad Nacional de Colombia Sede Medellín
dc.relationUniversidad Nacional de Colombia Revistas electrónicas UN Dyna
dc.relationDyna
dc.relationDyna; Vol. 80, núm. 182 (2013); 25-30 DYNA; Vol. 80, núm. 182 (2013); 25-30 2346-2183 0012-7353
dc.relationMartín, Adriana and Garamendi, Juan Francisco and Schiavi, Emanuele (2013) Mr-dti rician denoising. Dyna; Vol. 80, núm. 182 (2013); 25-30 DYNA; Vol. 80, núm. 182 (2013); 25-30 2346-2183 0012-7353 .
dc.relationhttp://revistas.unal.edu.co/index.php/dyna/article/view/28317
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.titleMr-dti rician denoising
dc.typeArtículo de revista


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