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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