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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