@inproceedings{3b2575ebad934382a82e88a7a1c1db8e,
title = "Tractometric Coherence of Fiber Bundles in DTI",
abstract = "Based on a diffusion tensor image (DTI) and a tentative tractogram of a fiber bundle we propose a filtering method for operationally defining and removing outliers using tractometry. To this end we assign to each track a set of K invariants, i.e. scalars invariant under rigid transformations. The cluster of K-tuples of all tracks in a bundle may be pruned using outlier detection methods in RK, after which backprojection of the remaining K-tuples produces a filtered tractogram with enhanced coherence. This intrinsic pruning method is blind to the relative spatial organization of tracks in a bundle. We consider two types of invariants, one capturing local diffusion properties and one representing differential properties averaged along tracks. Our experiments indicate that our tractometric filtering is complementary to extrinsic methods based on the relative spatial configuration of tracks.",
keywords = "diffusion tensor imaging, Tractography, Tractometry, Tractography filtering, Riemannian Geometry, Riemannian geometry, Diffusion tensor imaging",
author = "Sengers, \{H.J.C.E. (Rick)\} and \{Dela Haije\}, \{Tom C.J.\} and Andrea Fuster and Florack, \{Luc M.J.\}",
year = "2022",
month = dec,
day = "1",
doi = "10.1007/978-3-031-21206-2\_12",
language = "English",
isbn = "978-3-031-21205-5",
series = "Lecture Notes in Computer Science (LNCS)",
publisher = "Springer",
pages = "137--148",
editor = "Suheyla Cetin-Karayumak and Daan Christiaens and Matteo Figini and Pamela Guevara and Tomasz Pieciak and Elizabeth Powell and Francois Rheault",
booktitle = "Computational Diffusion MRI",
address = "Germany",
note = "MICCAI 2022, International Workshop on Computational Diffusion MRI, CMDRI 2022 ; Conference date: 22-09-2022 Through 22-09-2022",
}