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Abstract #2852

A non-rigid fiber registration method for tractography level DTI analysis

YISHAN LUO 1 , LIN SHI 2,3 , WINNIE CW CHU 1 , VINCENT CT MOK 2 , and Defeng Wang 1,4

1 Dept of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Hong Kong, 2 Dept of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 3 Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 4 Department of Biomedical Engineering and Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong

In this paper, we propose a feature-based tractography image registration method, targeting at achieving good tract alignment for tract-level DTI analysis across subjects. Although some DTI registration methods can well match tensor images, most of them fail to achieve good tract alignment. Our method first uses an atlas-based WM paracellation method to establish bundle-to-bundle correspondence. Then with three features designed for each fiber, fiber-to-fiber correspondence is set up for tractogrpahy image registration. Experimental results validated that our registration can greatly outperform DTI registration in terms of tract alignment, which demonstrates that our method can help realize more accurate tract-level analysis.

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