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Article: Does diffusion kurtosis imaging lead to better neural tissue characterization? A rodent brain maturation study

TitleDoes diffusion kurtosis imaging lead to better neural tissue characterization? A rodent brain maturation study
Authors
Issue Date2009
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg
Citation
Neuroimage, 2009, v. 45 n. 2, p. 386-392 How to Cite?
AbstractDiffusion kurtosis imaging (DKI) can be used to estimate excess kurtosis, which is a dimensionless measure for the deviation of water diffusion profile from Gaussian distribution. Several recent studies have applied DKI to probe the restricted water diffusion in biological tissues. The directional analysis has also been developed to obtain the directionally specific kurtosis. However, these studies could not directly evaluate the sensitivity of DKI in detecting subtle neural tissue alterations. Brain maturation is known to involve various biological events that can affect water diffusion properties, thus providing a sensitive platform to evaluate the efficacy of DKI. In this study, in vivo DKI experiments were performed in normal Sprague-Dawley rats of 3 different ages: postnatal days 13, 31 and 120 (N = 6 for each group). Regional analysis was then performed for 4 white matter (WM) and 3 gray matter (GM) structures. Diffusivity and kurtosis estimates derived from DKI were shown to be highly sensitive to the developmental changes in these chosen structures. Conventional diffusion tensor imaging (DTI) parameters were also computed using monoexponential model, yielding reduced sensitivity and directional specificity in monitoring the brain maturation changes. These results demonstrated that, by measuring directionally specific diffusivity and kurtosis, DKI offers a more comprehensive and sensitive detection of tissue microstructural changes. Such imaging advance can provide a better MR diffusion characterization of neural tissues, both WM and GM, in normal, developmental and pathological states. © 2008 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/155507
ISSN
2015 Impact Factor: 5.463
2015 SCImago Journal Rankings: 4.464
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong Research Grant Council
University of Hong Kong Committee on Research and Conference Grants
Funding Information:

We thank Dr. Jens H. Jensen at the New York University School of Medicine in New York and Dr. Hanzhang Lu at the UT Southwestern Medical Center in Dallas for assistance with data processing procedures. This work was supported in part by Hong Kong Research Grant Council and the University of Hong Kong Committee on Research and Conference Grants.

References

 

DC FieldValueLanguage
dc.contributor.authorCheung, MMen_US
dc.contributor.authorHui, ESen_US
dc.contributor.authorChan, KCen_US
dc.contributor.authorHelpern, JAen_US
dc.contributor.authorQi, Len_US
dc.contributor.authorWu, EXen_US
dc.date.accessioned2012-08-08T08:33:50Z-
dc.date.available2012-08-08T08:33:50Z-
dc.date.issued2009en_US
dc.identifier.citationNeuroimage, 2009, v. 45 n. 2, p. 386-392en_US
dc.identifier.issn1053-8119en_US
dc.identifier.urihttp://hdl.handle.net/10722/155507-
dc.description.abstractDiffusion kurtosis imaging (DKI) can be used to estimate excess kurtosis, which is a dimensionless measure for the deviation of water diffusion profile from Gaussian distribution. Several recent studies have applied DKI to probe the restricted water diffusion in biological tissues. The directional analysis has also been developed to obtain the directionally specific kurtosis. However, these studies could not directly evaluate the sensitivity of DKI in detecting subtle neural tissue alterations. Brain maturation is known to involve various biological events that can affect water diffusion properties, thus providing a sensitive platform to evaluate the efficacy of DKI. In this study, in vivo DKI experiments were performed in normal Sprague-Dawley rats of 3 different ages: postnatal days 13, 31 and 120 (N = 6 for each group). Regional analysis was then performed for 4 white matter (WM) and 3 gray matter (GM) structures. Diffusivity and kurtosis estimates derived from DKI were shown to be highly sensitive to the developmental changes in these chosen structures. Conventional diffusion tensor imaging (DTI) parameters were also computed using monoexponential model, yielding reduced sensitivity and directional specificity in monitoring the brain maturation changes. These results demonstrated that, by measuring directionally specific diffusivity and kurtosis, DKI offers a more comprehensive and sensitive detection of tissue microstructural changes. Such imaging advance can provide a better MR diffusion characterization of neural tissues, both WM and GM, in normal, developmental and pathological states. © 2008 Elsevier Inc. All rights reserved.en_US
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimgen_US
dc.relation.ispartofNeuroImageen_US
dc.subject.meshAging - Pathologyen_US
dc.subject.meshAlgorithmsen_US
dc.subject.meshAnimalsen_US
dc.subject.meshBrain - Anatomy & Histology - Growth & Developmenten_US
dc.subject.meshDiffusion Magnetic Resonance Imaging - Methodsen_US
dc.subject.meshImage Enhancement - Methodsen_US
dc.subject.meshImage Interpretation, Computer-Assisted - Methodsen_US
dc.subject.meshImaging, Three-Dimensional - Methodsen_US
dc.subject.meshRatsen_US
dc.subject.meshRats, Sprague-Dawleyen_US
dc.subject.meshReproducibility Of Resultsen_US
dc.subject.meshSensitivity And Specificityen_US
dc.titleDoes diffusion kurtosis imaging lead to better neural tissue characterization? A rodent brain maturation studyen_US
dc.typeArticleen_US
dc.identifier.emailWu, EX:ewu1@hkucc.hku.hken_US
dc.identifier.authorityWu, EX=rp00193en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.neuroimage.2008.12.018en_US
dc.identifier.pmid19150655-
dc.identifier.scopuseid_2-s2.0-60149098320en_US
dc.identifier.hkuros161928-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-60149098320&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume45en_US
dc.identifier.issue2en_US
dc.identifier.spage386en_US
dc.identifier.epage392en_US
dc.identifier.eissn1095-9572-
dc.identifier.isiWOS:000263863000018-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridCheung, MM=24333907800en_US
dc.identifier.scopusauthoridHui, ES=16175117100en_US
dc.identifier.scopusauthoridChan, KC=34968940300en_US
dc.identifier.scopusauthoridHelpern, JA=7006354960en_US
dc.identifier.scopusauthoridQi, L=7202149952en_US
dc.identifier.scopusauthoridWu, EX=7202128034en_US

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