DocumentCode
3077545
Title
Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis
Author
Hui, Edward S. ; Cheung, Matthew M. ; Qi, Liqun ; Wu, Ed.X.
Author_Institution
Laboratory of Biomedical Imaging and Signal Processing and the Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, China
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
3941
Lastpage
3944
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 4th order kurtosis tensor was introduced in the current study to compute kurtoses along the 3 eigenvector directions of the 2nd 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
Diffusion tensor imaging; Encoding; Gaussian distribution; Humans; Independent component analysis; Information analysis; Pathology; Sensitivity and specificity; Signal analysis; Tensile stress; Directional kurtosis; and orthogonal transformation; diffusion kurtosis tensor; restricted diffusion; Animals; Body Water; Brain; Diffusion; Diffusion Magnetic Resonance Imaging; Formaldehyde; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Statistical; Normal Distribution; Phantoms, Imaging; Rats; Water;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4650072
Filename
4650072
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