TY - GEN
T1 - Fiber-flux diffusion density for white matter tracts analysis
T2 - MICCAI Workshop on Computational Diffusion MRI, CDMRI 2017
AU - Benou, Itay
AU - Veksler, Ronel
AU - Friedman, Alon
AU - Raviv, Tammy Riklin
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85060307147
U2 - 10.1007/978-3-319-73839-0_15
DO - 10.1007/978-3-319-73839-0_15
M3 - Conference contribution
AN - SCOPUS:85060307147
SN - 9783319738383
T3 - Mathematics and Visualization
SP - 191
EP - 204
BT - Computational Diffusion MRI - MICCAI Workshop, 2017
A2 - Kaden, Enrico
A2 - Grussu, Francesco
A2 - Ning, Lipeng
A2 - Tax, Chantal M.W.
A2 - Veraart, Jelle
PB - Springer
Y2 - 10 September 2017 through 10 September 2017
ER -