Mapping Cerebral Connectivity Changes after Mild Traumatic Brain Injury in Older Adults Using Diffusion Tensor Imaging and Riemannian Matching of Elastic Curves

被引：0

作者：

Irimia, Andrei ^{[1
]}

Fan, Di ^{[1
]}

Chaudhari, Nikhil N. ^{[1
]}

Van Ngo ^{[1
]}

Zhang, Fan ^{[2
]}

Joshi, Shantanu H. ^{[3
]}

O'Donnell, Lauren J. ^{[2
]}

机构：

[1] Univ Southern Calif, Leonard Davis Sch Gerontol, Los Angeles, CA 90007 USA

[2] Harvard Med Sch, Lab Math Imaging, Boston, MA 02115 USA

[3] Univ Calif Los Angeles, Dept Neurol, Geffen Sch Med, Los Angeles, CA 90024 USA

来源：

2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020) | 2020年

关键词：

Traumatic brain injury; diffusion tensor imaging; Riemannian matching; elastic curve;

D O I：

10.1109/isbi45749.2020.9098476

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Although diffusion tensor imaging (DTI) can identify white matter (WM) alterations due to mild cases of traumatic brain injury (mTBI), the task of within-subject longitudinal matching of DTI streamlines remains challenging in this condition. Here we combine (A) automatic, atlas-informed labeling of WM streamline clusters with (B) streamline prototyping and (C) Riemannian matching of elastic curves to quantitate within-subject WM changes, focusing on the arcuate fasciculus. The approach is demonstrated in a group of geriatric mTBI patients imaged acutely and similar to 6 months post-injury. Results highlight the utility of differential geometry approaches when quantifying brain connectivity alterations due to mTBI.

引用

页码：1690 / 1693

页数：4

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