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Abstract #4515

Anatomical Priors to improve Global Tractography

Alia Lemkaddem 1 , Didrik Skildebrand 1 , Alessandro Dal Pal 2 , Jean-Philippe Thiran 1,3 , and Alessandro Daducci 1

1 Signal Processing Laboratory (LTS5), Ecole Polytechnique Fdrale de Lausanne (EPFL), Lausanne, Switzerland, 2 Department of Mathematics and Computer Science, University of Parma, Italy, 3 Department of Radiology, University Hospital Center (CHUV) and University of Lausanne (UNIL), Switzerland

Despite the improved robustness of current global tractography methods, the computation time makes them still not clinically feasible. Furthermore, the inclusion of anatomical priors are missing, i.e that the fiber starts and terminates in the gray matter. The latter constraint is thus crucial when performing connectivity studies, as it is mandatory to asses which pair of cortical regions a fiber is connecting. In this work, we have reformulated global tractography to reduce the computation time and furthermore embedded anatomical priors. We compare our results to state-of-the-art global tractography methods and therefore show how we improve.

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