@inproceedings{7c62940675b74b2a99be7f6ae09e3147,
title = "Fiber-flux diffusion density for white matter tracts analysis: Application to mild anomalies localization in contact sports players",
abstract = "We present the concept of fiber-flux density for locally quantifying white matter (WM) fiber bundles. By combining scalar diffusivity measures (e.g., fractional anisotropy) with fiber-flux measurements, we define new local descriptors called Fiber-Flux Diffusion Density (FFDD) vectors. Applying each descriptor throughout fiber bundles allows along-tract coupling of a specific diffusion measure with geometrical properties, such as fiber orientation and coherence. A key step in the proposed framework is the construction of an FFDD dissimilarity measure for sub-voxel alignment of fiber bundles, based on the fast marching method (FMM). The obtained aligned WM tract-profiles enable meaningful inter-subject comparisons and group-wise statistical analysis. We demonstrate our method using two different datasets of contact sports players. Along-tract pairwise comparison as well as group-wise analysis, with respect to non-player healthy controls, reveal significant and spatially-consistent FFDD anomalies. Comparing our method with along-tract FA analysis shows improved sensitivity to subtle structural anomalies in football players over standard FA measurements.",
author = "Itay Benou and Ronel Veksler and Alon Friedman and Raviv, {Tammy Riklin}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; MICCAI Workshop on Computational Diffusion MRI, CDMRI 2017 ; Conference date: 10-09-2017 Through 10-09-2017",
year = "2018",
month = jan,
day = "1",
doi = "https://doi.org/10.1007/978-3-319-73839-0_15",
language = "American English",
isbn = "9783319738383",
series = "Mathematics and Visualization",
publisher = "Springer",
pages = "191--204",
editor = "Enrico Kaden and Francesco Grussu and Lipeng Ning and Tax, {Chantal M.W.} and Jelle Veraart",
booktitle = "Computational Diffusion MRI - MICCAI Workshop, 2017",
address = "Germany",
}