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Abstract #7911

Global Tractography

Marco Reisert1, Valerij G Kiselev2, and Dmitry Novikov3

1Medical Physics, Faculty of Medicine, University Freiburg, 2Medical Physics, Faculty of Medicine, University Freiburg, Freiburg, Germany, 3NYU School of Medicine, NYU Langone Medical Center, New York, NY, United States

There are two overarching challenges of clinical diffusion-weighted magnetic resonance imaging: the estimation of long-range structural connectivity, and second, the quantification of tissue properties at the a cellular scale of micrometers. Here we propose a global optimization framework that tries to resolve both challenges for human white matter fibers, by unifying global fiber tractography and intra-voxel mesoscopic modeling. The algorithm is based on a Simulated Annealing approach which simultaneously optimizes diffusion parameters and fiber locations. Additionally, fibers can carry their individual set of diffusion microparameters which allows to link them by their structural relationships.

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