Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25017
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematics-
dc.creatorQi, L-
dc.creatorWang, Y-
dc.creatorWu, EX-
dc.date.accessioned2014-12-19T06:54:11Z-
dc.date.available2014-12-19T06:54:11Z-
dc.identifier.issn0377-0427-
dc.identifier.urihttp://hdl.handle.net/10397/25017-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectComputationen_US
dc.subjectDiffusion kurtosisen_US
dc.subjectEigenvaluesen_US
dc.subjectTensorsen_US
dc.titleD-eigenvalues of diffusion kurtosis tensorsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage150-
dc.identifier.epage157-
dc.identifier.volume221-
dc.identifier.issue1-
dc.identifier.doi10.1016/j.cam.2007.10.012-
dcterms.abstractDiffusion kurtosis imaging (DKI) is a new model in medical engineering, where a diffusion kurtosis (DK) tensor is involved. A DK tensor is a fourth-order three-dimensional fully symmetric tensor. In this paper, we introduce D-eigenvalues for a DK tensor. The largest, the smallest and the average D-eigenvalues of a DK tensor correspond with the largest, the smallest and the average apparent kurtosis coefficients (AKC) of a water molecule in the space, respectively. We present their computational methods and discuss related anisotropy value of AKC.-
dcterms.bibliographicCitationJournal of computational and applied mathematics, 2008, v. 221, no. 1, p. 150-157-
dcterms.isPartOfJournal of computational and applied mathematics-
dcterms.issued2008-
dc.identifier.isiWOS:000259945000012-
dc.identifier.scopus2-s2.0-51249084984-
dc.identifier.eissn1879-1778-
dc.identifier.rosgroupidr43732-
dc.description.ros2008-2009 > Academic research: refereed > Publication in refereed journal-
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