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Conference Paper: A model-based method with joint sparsity constant for direct diffusion tensor estimation

TitleA model-based method with joint sparsity constant for direct diffusion tensor estimation
Authors
KeywordsDiffusion tensor imaging (DTI)
Model-based (MB) method
Joint sparsity constraint
Distributed compressed sensing
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000080
Citation
The 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012), Barcelona, Spain, 2-5 May 2012. In Proceedings of the 9th ISBI, 2012, p. 510-513 How to Cite?
AbstractDiffusion tensor imaging (DTI) has been widely used for nondestructive characterization of microstructures of myocardium or brain connectivity. It requires repeated acquisition with different diffusion gradients. The long acquisition time greatly limits the clinical application of DTI. In this paper, a novel 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 direct estimation of the diffusion tensor from highly undersampled k-space data. 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.
Persistent Identifierhttp://hdl.handle.net/10722/165170
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZhu, Yen_US
dc.contributor.authorWu, Yen_US
dc.contributor.authorZheng, YJen_US
dc.contributor.authorWu, EXen_US
dc.contributor.authorYing, Len_US
dc.contributor.authorLiang, D-
dc.date.accessioned2012-09-20T08:16:00Z-
dc.date.available2012-09-20T08:16:00Z-
dc.date.issued2012en_US
dc.identifier.citationThe 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012), Barcelona, Spain, 2-5 May 2012. In Proceedings of the 9th ISBI, 2012, p. 510-513en_US
dc.identifier.issn978-1-4577-1858-8 (isbn)-
dc.identifier.urihttp://hdl.handle.net/10722/165170-
dc.description.abstractDiffusion tensor imaging (DTI) has been widely used for nondestructive characterization of microstructures of myocardium or brain connectivity. It requires repeated acquisition with different diffusion gradients. The long acquisition time greatly limits the clinical application of DTI. In this paper, a novel 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 direct estimation of the diffusion tensor from highly undersampled k-space data. 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.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000080-
dc.relation.ispartofIEEE International Symposium on Biomedical Imaging Proceedingsen_US
dc.rightsIEEE International Symposium on Biomedical Imaging Proceedings. Copyright © IEEE.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectDiffusion tensor imaging (DTI)-
dc.subjectModel-based (MB) method-
dc.subjectJoint sparsity constraint-
dc.subjectDistributed compressed sensing-
dc.titleA model-based method with joint sparsity constant for direct diffusion tensor estimationen_US
dc.typeConference_Paperen_US
dc.identifier.emailWu, EX: ewu1@hkucc.hku.hken_US
dc.identifier.emailLiang, D: rallip@gmail.com-
dc.identifier.authorityWu, EX=rp00193en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ISBI.2012.6235597-
dc.identifier.scopuseid_2-s2.0-84864853865-
dc.identifier.hkuros207228en_US
dc.identifier.spage510-
dc.identifier.epage513-
dc.publisher.placeUnited States-
dc.description.otherThe 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012), Barcelona, Spain, 2-5 May 2012. In Proceedings of the 9th ISBI, 2012, p. 510-513-

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