A nonparametric Riemannian framework for processing high angular resolution diffusion images and its...
A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry
About this item
Full title
Author / Creator
Publisher
United States: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
High angular resolution diffusion imaging (HARDI) has become an important technique for imaging complex oriented structures in the brain and other anatomical tissues. This has motivated the recent development of several methods for computing the orientation probability density function (PDF) at each voxel. However, much less work has been done on d...
Alternative Titles
Full title
A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3085642
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3085642
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2011.01.053
