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Abstract #2276

Functionally Informed Fiber Tracking Using Combination of Diffusion and Functional MRI

Zhipeng Yang1,2, Jiliu Zhou1, John C. Gore2,3,4, Zhaohua Ding2,3,5, and Xi Wu1,2

1Department of Computer Science, Chengdu University of Information Technology, Chengdu, People's Republic of China, 2Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 5Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States

While fiber tractography using diffusion weighted MRI is a primary method that has achieved great success during the past decade, it however suffers from a number of inherent limitations. On the basis of the concept of a spatio-temporal correlation tensor we have introduced previously as a descriptor of the functional architecture in white matter, we propose in this study a novel algorithm for tractography by combing diffusion and functional MRI. Our experimental results show clear improvement of tractography accuracy for fiber tracts in the visual circuit, which demonstrates a great potential for reconstructing functional structure in brain whiter matter.

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