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Article: Double-pulsed diffusional kurtosis imaging for the in vivo assessment of human brain microstructure

TitleDouble-pulsed diffusional kurtosis imaging for the in vivo assessment of human brain microstructure
Authors
KeywordsDouble-pulsed-field-gradient
Human
Kurtosis
Microscopic anisotropy
Multiple-wave-vector
Non-Gaussian diffusion
Issue Date2015
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg
Citation
NeuroImage, 2015, v. 120, p. 371-381 How to Cite?
AbstractWe have recently extended conventional single-pulsed-field-gradient (s-PFG) diffusional kurtosis imaging (DKI) to double-pulsed-field-gradient (d-PFG) diffusion MRI sequences, with a method known as double-pulsed DKI (DP-DKI). By virtue of a six-dimensional (6D) formulation for q-space, many of the results and insights of s-PFG DKI are generalized to those of DP-DKI. Owing to the fact that DP-DKI isolates the second order contributions to the d-PFG signal (i.e. second order in b-value), the 6D diffusional kurtosis encodes information beyond what is available from s-PFG sequences. Previously, we have demonstrated DP-DKI for in vivo mouse brain at 7 T, and it is the objective of this study to demonstrate the feasibility of DP-DKI at 3 T for the in vivo assessment of human brain microstructure. In addition, an example is given of how to utilize the additional information obtained from DP-DKI for the purpose of biophysical modeling. The relationship between a specific microscopic anisotropy metric estimated from DP-DKI and other recently proposed measures is also discussed.
Persistent Identifierhttp://hdl.handle.net/10722/211743
ISSN
2021 Impact Factor: 7.400
2020 SCImago Journal Rankings: 3.259
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHui, ESK-
dc.contributor.authorJensen, JH-
dc.date.accessioned2015-07-21T02:09:47Z-
dc.date.available2015-07-21T02:09:47Z-
dc.date.issued2015-
dc.identifier.citationNeuroImage, 2015, v. 120, p. 371-381-
dc.identifier.issn1053-8119-
dc.identifier.urihttp://hdl.handle.net/10722/211743-
dc.description.abstractWe have recently extended conventional single-pulsed-field-gradient (s-PFG) diffusional kurtosis imaging (DKI) to double-pulsed-field-gradient (d-PFG) diffusion MRI sequences, with a method known as double-pulsed DKI (DP-DKI). By virtue of a six-dimensional (6D) formulation for q-space, many of the results and insights of s-PFG DKI are generalized to those of DP-DKI. Owing to the fact that DP-DKI isolates the second order contributions to the d-PFG signal (i.e. second order in b-value), the 6D diffusional kurtosis encodes information beyond what is available from s-PFG sequences. Previously, we have demonstrated DP-DKI for in vivo mouse brain at 7 T, and it is the objective of this study to demonstrate the feasibility of DP-DKI at 3 T for the in vivo assessment of human brain microstructure. In addition, an example is given of how to utilize the additional information obtained from DP-DKI for the purpose of biophysical modeling. The relationship between a specific microscopic anisotropy metric estimated from DP-DKI and other recently proposed measures is also discussed.-
dc.languageeng-
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg-
dc.relation.ispartofNeuroImage-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectDouble-pulsed-field-gradient-
dc.subjectHuman-
dc.subjectKurtosis-
dc.subjectMicroscopic anisotropy-
dc.subjectMultiple-wave-vector-
dc.subjectNon-Gaussian diffusion-
dc.titleDouble-pulsed diffusional kurtosis imaging for the in vivo assessment of human brain microstructure-
dc.typeArticle-
dc.identifier.emailHui, ESK: edshui@hku.hk-
dc.identifier.authorityHui, ESK=rp01832-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.neuroimage.2015.07.013-
dc.identifier.scopuseid_2-s2.0-84938693747-
dc.identifier.hkuros245844-
dc.identifier.volume120-
dc.identifier.spage371-
dc.identifier.epage381-
dc.identifier.isiWOS:000362025000033-
dc.publisher.placeUnited States-
dc.identifier.issnl1053-8119-

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