NDLI: Diffusion characteristic analysis in human visual cortex

Content Provider	IEEE Xplore Digital Library
Author	Shouyu Zhang Song Gao Xiaojian Kang Shanglian Bao
Copyright Year	2013
Description	Author affiliation: Human Cognitive Neurophysiol. Lab., VA-NCHCS, Martinez, CA, USA (Xiaojian Kang) \|\| Beijing Key Lab. of Med. Phys. & Eng., Peking Univ., Beijing, China (Shouyu Zhang; Song Gao; Shanglian Bao)
Abstract	Since the birth of diffusion tensor imaging (DTI), diffusion characteristic has become a powerful tool to probe the internal structure of the subject. The diffusion anisotropy indices (DAIs) are parameters derived from DTI data which describe the morphological characteristics of diffusion tensor within specific range. It is of great importance to select a proper DAI for the analysis and interpretation of DTI data. In this work, the diffusion characteristic in human visual cortex is analysed with three DAIs: the commonly used fractional anisotropy (FA), ellipsoidal geometric ratio (EAR) proposed lately and ellipsoidal geometric ratio (EGR) that we proposed. The retinotopic mapping and surface-based analysis methods were applied to increase the power and precision studying longitudinal DAI changes in different visual fields (V1, V2, V3 et al). All three DAIs show the similar trend in visual fields, however, EGR and EAR both have higher magnitude and better contrast than FA. In addition, since EGR makes full use of the ellipsoidal volume information, its application result shows a certain improvement compared with EAR.
Sponsorship	IEEE Beijing Sect.
Starting Page	107
Ending Page	111
File Size	186434
Page Count	5
File Format	PDF
e-ISBN	9781467358873
DOI	10.1109/ICMIPE.2013.6864514
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Anisotropic magnetoresistance Retinotopic map Visual cortex Ear Surface topography Diffusion DAI Diffusion tensor imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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