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Abstract #3474

When does a volume of a bundle achieve saturation? A microstructure informed tractography study

Muhamed Barakovic1, David Romascano1, Gabriel Girard1, Maxime Descoteaux1,2, Jean-Philippe Thiran1,3, and Alessandro Daducci1,3,4

1Signal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Sheerbrooke Connectivity Imaging Laboratory (SCIL), University of Sheerbrooke, Canada, 3University Hospital Center (CHUV) and University of Lausanne (UNIL), Switzerland, 4Department of Computer Science, University of Verona, Italy

Volumetric analysis of bundles derived from tractography is a popular statistical measure used in neurological disorder studies. Recent research performed by Gauvin shows that different bundles saturate with different tractography parameters, however, to achieve that saturation millions of streamlines need to be computed. In this investigation, the aim was to use microstructure informed tractography, a novel technique that combine tractography and microstructure models, to study the saturation of the bundles. This study has found that generally microstructure informed tractography makes the volume estimation less sensitive to tracking parameters. The findings may have profound implications in volumetric analysis in group studies.

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