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Abstract #4528

Towards minimizing tractography errors and quantifying fiber crossing ratios

Stefan Sommer 1,2 , Sebastian Kozerke 1 , Erich Seifritz 2 , and Philipp Staempfli 2

1 Institute for Biomedical Engineering, ETH Zurich, Zurich, Zurich, Switzerland, 2 Departement of Psychiatry, Psychotherapy and Psychosomatics, Zurich University Hospital of Psychiatry, Zurich, Zurich, Switzerland

A fundamental problem of tracking techniques based on high angular resolution diffusion data is that a quantitative evaluation of the resulting fiber tracts is still error prone and dependent on the algorithm and anatomy of interest. Furthermore, it remains challenging to derive e.g. crossing ratios of two or more intersecting fiber populations in a robust and reproducible manner. In this work, we present a method to minimize fiber tracking errors of any tracking algorithm in order to improve the quality of fiber tracts and fiber quantification of fiber crossing ratios. The method is validated using synthetic data and in-vivo data.

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