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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