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Research progress of diffusion spectrum imaging
ZHAO Zhi-yong  LIU Xiao-zheng  FAN Ming-xia  XU Dong-rong 

DOI:10.12015/issn.1674-8034.2016.07.011.


[Abstract] Scientific studies showed that many areas in human brains contain fiber tracts running along multiple different directions, and the general average diffusion of water molecules within the image voxles of such areas does not statistically follow Gaussian distribution. Therefore, the model of diffusion tensor that hypothesizes a single fiber orientation is intrinsically defective in revealing the microstructures of brain tissues. Diffusion spectrum imaging (DSI) employs pulse sequences using multiple b-values along multiple gradient directions, sampling diffusion information of water molecules in the entire q-space, and quantitatively estimates water diffusion using a probability density function of high angular resolution diffusion imaging. DSI thus can reliably observe fibers running along multiple directions within any voxel in the image, which subsequently allows fiber tracking along different directions, leading to improved reconstruction reflecting true but complicated tissue structures in reality. This article aims to conduct a comprehensive survey of literatures published in recent years in the domain of DSI research, providing a summary on its fundamental principles, methodology, applications and important progresses, which may hopefully help promote the development of DSI in China in both research and clinical studies.
[Keywords] Diffusion magnetic resonance imaging；Diffusion spectrum imaging

ZHAO Zhi-yong Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200333, China

LIU Xiao-zheng Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Center for Cognitive Brain Disorders, Hangzhou Normal University, Hangzhou 310015, China

FAN Ming-xia Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200333, China

XU Dong-rong* Department of Psychiatry, MRI Unit, New York State Psychiatric Institute and Columbia University, New York 10032, U S A

*Correspondence to: Xu DR, E-mail: xu.dongrong@columbia.edu

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work is supported by two China National Science Foundation grants No. 81471734, 81471651
Received  2016-01-22
Accepted  2016-03-30
DOI: 10.12015/issn.1674-8034.2016.07.011
DOI:10.12015/issn.1674-8034.2016.07.011.

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