Low Rank plus Sparse decomposition of ODFs for improved detection of group-level differences and variable correlations in white matter.

ABSTRACT: A novel approach is presented for group statistical analysis of diffusion weighted MRI datasets through voxelwise Orientation Distribution Functions (ODF). Recent advances in MRI acquisition make it possible to use high quality diffusion weighted protocols (multi-shell, large number of gradient directions) for routine in vivo study of white matter architecture. The dimensionality of these data sets is however often reduced to simplify statistical analysis. While these approaches may detect large group differences, they do not fully capitalize on all acquired image volumes. Incorporation of all available diffusion information in the analysis however risks biasing the outcome by outliers. Here we propose a statistical analysis method operating on the ODF, either the diffusion ODF or fiber OD

SUBMITTER: Baete SH 

PROVIDER: S-EPMC5949269 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature