Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis

Edward S. Hui; Matthew M. Cheung; Liqun Qi; Ed X. Wu

Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis

Edward S. Hui, Matthew M. Cheung, Liqun Qi, Ed X. Wu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

36 Citations (Scopus)

Abstract

MR Diffusion kurtosis imaging (DKI) was proposed recently to study the deviation of water diffusion from Gaussian distribution. Mean kurtosis (MK), directionally averaged kurtosis, has been shown to be useful in assessing pathophysilogical changes. However, MK is not sensitive to kurtosis change occurring along a specific direction. Therefore, orthogonal transformation of the 4 th order kurtosis tensor was introduced in the current study to compute kurtoses along the 3 eigenvector directions of the 2 nd order diffusion tensor. Such axial (K ||) and radial (K- ⊥) kurtoses measured the kurtoses along the directions parallel and perpendicular, respectively, to the principal diffusion direction. DKI experiments were performed in normal adult and formalin-fixed rat brain, and developmental brains. The results showed that directional kurtosis analysis revealed different information for tissue characterization.

Original language	English
Title of host publication	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages	3941-3944
Number of pages	4
Publication status	Published - 1 Dec 2008
Event	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada Duration: 20 Aug 2008 → 25 Aug 2008

Conference

Conference	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/Territory	Canada
City	Vancouver, BC
Period	20/08/08 → 25/08/08

Keywords

And orthogonal transformation
Diffusion kurtosis tensor
Directional kurtosis
Restricted diffusion

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

Cite this

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title = "Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis",

abstract = "MR Diffusion kurtosis imaging (DKI) was proposed recently to study the deviation of water diffusion from Gaussian distribution. Mean kurtosis (MK), directionally averaged kurtosis, has been shown to be useful in assessing pathophysilogical changes. However, MK is not sensitive to kurtosis change occurring along a specific direction. Therefore, orthogonal transformation of the 4 th order kurtosis tensor was introduced in the current study to compute kurtoses along the 3 eigenvector directions of the 2 nd order diffusion tensor. Such axial (K ||) and radial (K- ⊥) kurtoses measured the kurtoses along the directions parallel and perpendicular, respectively, to the principal diffusion direction. DKI experiments were performed in normal adult and formalin-fixed rat brain, and developmental brains. The results showed that directional kurtosis analysis revealed different information for tissue characterization.",

keywords = "And orthogonal transformation, Diffusion kurtosis tensor, Directional kurtosis, Restricted diffusion",

author = "Hui, {Edward S.} and Cheung, {Matthew M.} and Liqun Qi and Wu, {Ed X.}",

year = "2008",

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pages = "3941--3944",

booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",

note = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",

}

Hui, ES, Cheung, MM, Qi, L & Wu, EX 2008, Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08., 4650072, pp. 3941-3944, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 20/08/08.

Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis. / Hui, Edward S.; Cheung, Matthew M.; Qi, Liqun et al.
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. p. 3941-3944 4650072.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Hui, Edward S.

AU - Cheung, Matthew M.

AU - Qi, Liqun

AU - Wu, Ed X.

PY - 2008/12/1

Y1 - 2008/12/1

N2 - MR Diffusion kurtosis imaging (DKI) was proposed recently to study the deviation of water diffusion from Gaussian distribution. Mean kurtosis (MK), directionally averaged kurtosis, has been shown to be useful in assessing pathophysilogical changes. However, MK is not sensitive to kurtosis change occurring along a specific direction. Therefore, orthogonal transformation of the 4 th order kurtosis tensor was introduced in the current study to compute kurtoses along the 3 eigenvector directions of the 2 nd order diffusion tensor. Such axial (K ||) and radial (K- ⊥) kurtoses measured the kurtoses along the directions parallel and perpendicular, respectively, to the principal diffusion direction. DKI experiments were performed in normal adult and formalin-fixed rat brain, and developmental brains. The results showed that directional kurtosis analysis revealed different information for tissue characterization.

AB - MR Diffusion kurtosis imaging (DKI) was proposed recently to study the deviation of water diffusion from Gaussian distribution. Mean kurtosis (MK), directionally averaged kurtosis, has been shown to be useful in assessing pathophysilogical changes. However, MK is not sensitive to kurtosis change occurring along a specific direction. Therefore, orthogonal transformation of the 4 th order kurtosis tensor was introduced in the current study to compute kurtoses along the 3 eigenvector directions of the 2 nd order diffusion tensor. Such axial (K ||) and radial (K- ⊥) kurtoses measured the kurtoses along the directions parallel and perpendicular, respectively, to the principal diffusion direction. DKI experiments were performed in normal adult and formalin-fixed rat brain, and developmental brains. The results showed that directional kurtosis analysis revealed different information for tissue characterization.

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KW - Directional kurtosis

KW - Restricted diffusion

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BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

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ER -

Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis

Abstract

Conference

Keywords

ASJC Scopus subject areas

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