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Conference Paper: Direct diffusion tensor estimation using joint sparsity constraint without image reconstruction

TitleDirect diffusion tensor estimation using joint sparsity constraint without image reconstruction
Authors
Issue Date2012
PublisherInternational Society of Magnetic Resonance in Medicine.
Citation
The 20th Annual Meeting & Exihibition of the International Society of Magnetic Resonance in Medicine (ISMRM 2012), Melbourne, Australia, 5-11 May 2012. In Proceedings of the 20th ISMRM, 2012, no. 0009 How to Cite?
Abstract
The joint sparsity constraint is integrated into the model-based method to improve the accuracy of direct diffusion tensor estimation from highly undersampled k-space data. The method, named model-based method with joint sparsity constraint (MB-JSC), effectively incorporates the prior information on the joint sparsity of different diffusion weighted images in solving the nonlinear equation of tensors. Experimental results demonstrate that the proposed method is able to estimate the diffusion tensors more accurately than the existing method when a high net reduction factor is used.
DescriptionTheme: Adapting MR in a Changing World
Persistent Identifierhttp://hdl.handle.net/10722/165179

 

DC FieldValueLanguage
dc.contributor.authorZhu, Yen_US
dc.contributor.authorWu, Yen_US
dc.contributor.authorWu, EXen_US
dc.contributor.authorYing, Len_US
dc.contributor.authorLiang, Den_US
dc.date.accessioned2012-09-20T08:16:04Z-
dc.date.available2012-09-20T08:16:04Z-
dc.date.issued2012en_US
dc.identifier.citationThe 20th Annual Meeting & Exihibition of the International Society of Magnetic Resonance in Medicine (ISMRM 2012), Melbourne, Australia, 5-11 May 2012. In Proceedings of the 20th ISMRM, 2012, no. 0009en_US
dc.identifier.urihttp://hdl.handle.net/10722/165179-
dc.descriptionTheme: Adapting MR in a Changing World-
dc.descriptionOral Presentation - Session 01: Compressed Sensing - Novel Applications: no. 0009-
dc.description.abstractThe joint sparsity constraint is integrated into the model-based method to improve the accuracy of direct diffusion tensor estimation from highly undersampled k-space data. The method, named model-based method with joint sparsity constraint (MB-JSC), effectively incorporates the prior information on the joint sparsity of different diffusion weighted images in solving the nonlinear equation of tensors. Experimental results demonstrate that the proposed method is able to estimate the diffusion tensors more accurately than the existing method when a high net reduction factor is used.-
dc.languageengen_US
dc.publisherInternational Society of Magnetic Resonance in Medicine.-
dc.relation.ispartofProceedings of the 20th Annual Meeting of the International Society of Magnetic Resonance in Medicine, ISMRM 2012en_US
dc.titleDirect diffusion tensor estimation using joint sparsity constraint without image reconstructionen_US
dc.typeConference_Paperen_US
dc.identifier.emailWu, EX: ewu@eee.hku.hken_US
dc.identifier.emailLiang, D: rallip@gmail.com-
dc.identifier.authorityWu, EX=rp00193en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.hkuros207268en_US
dc.publisher.placeAustralia-
dc.description.otherThe 20th Annual Meeting & Exihibition of the International Society of Magnetic Resonance in Medicine (ISMRM 2012), Melbourne, Australia, 5-11 May 2012. In Proceedings of the 20th ISMRM, 2012, no. 0009-

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