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A Graph-based Approach for Tractography Mapping
Diffusion magnetic resonance imaging (dMRI) allows to study brain connectivity by reconstructing the 3D pathways of axons within the white matter of the brain as a set of streamlines called tractography. Due to the heterogeneous nature of the brain, tractographies of different brain cannot be represented in a common space. Therefore for group-based analysis of different tractographies, alignment process is require. The most commonly used technique to do alignment is registration done by calculating the transformation from anatomical MR images. In contrast to registration techniques, we exploit the relationship between streamlines to find the correspondence between different tractographies without any transformation. In this perspective, we reform the problem of alignment as a problem of mapping. We formulate the mapping problem as variant of the graph matching problem. Here, the biggest challenge is to find the appropriate optimization technique with low computational complexity for tractography mapping.