Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering. (arXiv:2205.04843v1 [cs.CV])

Web: http://arxiv.org/abs/2205.04843

Tractography has become an indispensable part of brain connectivity studies.
However, it is currently facing problems with reliability. In particular, a
substantial amount of nerve fiber reconstructions (streamlines) in tractograms
produced by state-of-the-art tractography methods are anatomically implausible.
To address this problem, tractogram filtering methods have been developed to
remove faulty connections in a postprocessing step. This study takes a closer
look at one such method, \textit{Spherical-deconvolution Informed Filtering of
Tractograms} (SIFT), which uses a global optimization approach to improve …

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