File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Extreme diffusion values for non-Gaussian diffusions

TitleExtreme diffusion values for non-Gaussian diffusions
Authors
KeywordsDiffusion
Gaussian noise (electronic)
Imaging techniques
Magnetic resonance imaging
Numerical methods
Issue Date2008
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/10556788.asp
Citation
Optimization Methods and Software, 2008, v. 23, p. 703-716 How to Cite?
AbstractA new magnetic resonance imaging (MRI) model, called diffusion kurtosis imaging (DKI), was recently proposed, to characterize the non-Gaussian diffusion behaviour in tissues. DKI involves a fourth-order three-dimensional tensor and a second-order three-dimensional tensor. Similar to those in the diffusion tensor imaging (DTI) model, the extreme diffusion values and extreme directions associated to this tensor pair play important roles in DKI. In this paper, we study the properties of the extreme values and directions associated to such tensor pairs. We also present a numerical method and its preliminary computational results.
Persistent Identifierhttp://hdl.handle.net/10722/58732
ISSN
2015 Impact Factor: 0.841
2015 SCImago Journal Rankings: 1.063
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHan, Den_HK
dc.contributor.authorQi, Len_HK
dc.contributor.authorWu, EXen_HK
dc.date.accessioned2010-05-31T03:35:56Z-
dc.date.available2010-05-31T03:35:56Z-
dc.date.issued2008en_HK
dc.identifier.citationOptimization Methods and Software, 2008, v. 23, p. 703-716en_HK
dc.identifier.issn1055-6788en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58732-
dc.description.abstractA new magnetic resonance imaging (MRI) model, called diffusion kurtosis imaging (DKI), was recently proposed, to characterize the non-Gaussian diffusion behaviour in tissues. DKI involves a fourth-order three-dimensional tensor and a second-order three-dimensional tensor. Similar to those in the diffusion tensor imaging (DTI) model, the extreme diffusion values and extreme directions associated to this tensor pair play important roles in DKI. In this paper, we study the properties of the extreme values and directions associated to such tensor pairs. We also present a numerical method and its preliminary computational results.-
dc.languageengen_HK
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/10556788.aspen_HK
dc.relation.ispartofOptimization Methods and Softwareen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectDiffusion-
dc.subjectGaussian noise (electronic)-
dc.subjectImaging techniques-
dc.subjectMagnetic resonance imaging-
dc.subjectNumerical methods-
dc.titleExtreme diffusion values for non-Gaussian diffusionsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1055-6788&volume=23&spage=703&epage=716&date=2008&atitle=Extreme+diffusion+values+for+non-Gaussian+diffusionsen_HK
dc.identifier.emailWu, EX: ewu@eee.hku.hken_HK
dc.identifier.authorityWu, EX=rp00193en_HK
dc.description.naturepostprint-
dc.identifier.doi10.1080/10556780802367171-
dc.identifier.scopuseid_2-s2.0-52149118436-
dc.identifier.hkuros161915en_HK
dc.identifier.isiWOS:000259314500005-
dc.identifier.citeulike3347162-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats