NDLI: Unbiased Group-Wise Image Registration: Applications in Brain Fiber Tract Atlas Construction and Functional Connectivity Analysis

Content Provider	Springer Nature Link
Author	Geng, Xiujuan Gu, Hong Shin, Wanyong Ross, Thomas J. Yang, Yihong
Copyright Year	2010
Abstract	We propose an unbiased implicit-reference group-wise (IRG) image registration method and demonstrate its applications in the construction of a brain white matter fiber tract atlas and the analysis of resting-state functional MRI (fMRI) connectivity. Most image registration techniques pair-wise align images to a selected reference image and group analyses are performed in the reference space, which may produce bias. The proposed method jointly estimates transformations, with an elastic deformation model, registering all images to an implicit reference corresponding to the group average. The unbiased registration is applied to build a fiber tract atlas by registering a group of diffusion tensor images. Compared to reference-based registration, the IRG registration improves the fiber track overlap within the group. After applying the method in the fMRI connectivity analysis, results suggest a general improvement in functional connectivity maps at a group level in terms of larger cluster size and higher average t-scores.
Starting Page	921
Ending Page	928
Page Count	8
File Format	PDF
ISSN	01485598
Journal	Journal of Medical Systems
Volume Number	35
Issue Number	5
e-ISSN	1573689X
Language	English
Publisher	Springer US
Publisher Date	2010-05-25
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Group-wise image registration DTI Fractional anisotropy Fiber tract Resting-state fMRI Statistics for Life Sciences, Medicine, Health Sciences Health Informatics
Content Type	Text
Resource Type	Article
Subject	Health Information Management Information Systems Health Informatics

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