TY - GEN
T1 - Atlas-based fiber clustering for multi-subject analysis of high angular resolution diffusion imaging tractography
AU - Prasad, Gautam
AU - Jahanshad, Neda
AU - Aganj, Iman
AU - Lenglet, Christophe
AU - Sapiro, Guillermo
AU - Toga, Arthur W.
AU - Thompson, Paul M.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Dijkstra's shortest path
KW - clustering
KW - fiber bundles
KW - multi-subject analysis
KW - tractography
UR - http://www.scopus.com/inward/record.url?scp=80055048916&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055048916&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872405
DO - 10.1109/ISBI.2011.5872405
M3 - Conference contribution
AN - SCOPUS:80055048916
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 276
EP - 280
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Y2 - 30 March 2011 through 2 April 2011
ER -