TY - GEN
T1 - Tractography-embedded white matter stream clustering
AU - Jin, Yan
AU - Cetingul, H. Ertan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/21
Y1 - 2015/7/21
N2 - While automated segmentation of white matter fibers is essential for understanding the human brain connectome, fast unsupervised clustering of these fibers emanating from a manually specified region of interest (ROI) into tracts is more desired in a clinical environment. In this work, we propose a tractography-embedded white matter stream clustering method to apply fiber tracking and clustering in a simultaneous manner. Integrated into a filtered tractography scheme, our method continuously checks for a drift in the fiber trajectories, which in turn controls the timing of the clustering. This affinity propagation-based clustering only involves a small portion of fibers and exemplars are selected to label the rest of the fibers. The proposed method is found to be five times faster than a traditional clustering framework, yet still achieves high accuracy on phantom and real data.
AB - While automated segmentation of white matter fibers is essential for understanding the human brain connectome, fast unsupervised clustering of these fibers emanating from a manually specified region of interest (ROI) into tracts is more desired in a clinical environment. In this work, we propose a tractography-embedded white matter stream clustering method to apply fiber tracking and clustering in a simultaneous manner. Integrated into a filtered tractography scheme, our method continuously checks for a drift in the fiber trajectories, which in turn controls the timing of the clustering. This affinity propagation-based clustering only involves a small portion of fibers and exemplars are selected to label the rest of the fibers. The proposed method is found to be five times faster than a traditional clustering framework, yet still achieves high accuracy on phantom and real data.
KW - Clustering algorithms
KW - diffusion magnetic resonance imaging
KW - drift detection
KW - fiber tracking
UR - http://www.scopus.com/inward/record.url?scp=84944312781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944312781&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2015.7163904
DO - 10.1109/ISBI.2015.7163904
M3 - Conference contribution
AN - SCOPUS:84944312781
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 432
EP - 435
BT - 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PB - IEEE Computer Society
T2 - 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Y2 - 16 April 2015 through 19 April 2015
ER -