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
Link To Document :
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