ATLAS-BASED FIBER CLUSTERING FOR MULTI-SUBJECT ANALYSIS OF HIGH ANGULAR RESOLUTION DIFFUSION IMAGING TRACTOGRAPHY.
Published
Journal Article
High angular resolution diffusion imaging (HARDI) allows in vivo analysis of the white matter structure and connectivity. Based on orientation distribution functions (ODFs) that represent the directionality of water diffusion at each point in the brain, tractography methods can recover major axonal pathways. This enables tract-based analysis of fiber integrity and connectivity. For multi-subject comparisons, fibers may be clustered into bundles that are consistently found across subjects. To do this, we scanned 20 young adults with HARDI at 4 T. From the reconstructed ODFs, we performed whole-brain tractography with a novel Hough transform method. We then used measures of agreement between the extracted 3D curves and a co-registered probabilistic DTI atlas to select key pathways. Using median filtering and a shortest path graph search, we derived the maximum density path to compactly represent each tract in the population. With this tract-based method, we performed tract-based analysis of fractional anisotropy, and assessed how the chosen tractography algorithm influenced the results. The resulting method may expedite population-based statistical analysis of HARDI and DTI.
Full Text
Duke Authors
Cited Authors
- Prasad, G; Jahanshad, N; Aganj, I; Lenglet, C; Sapiro, G; Toga, AW; Thompson, PM
Published Date
- April 2011
Published In
Volume / Issue
- 2011 /
Start / End Page
- 276 - 280
PubMed ID
- 25404992
Pubmed Central ID
- 25404992
Electronic International Standard Serial Number (EISSN)
- 1945-8452
International Standard Serial Number (ISSN)
- 1945-7928
Digital Object Identifier (DOI)
- 10.1109/isbi.2011.5872405
Language
- eng