Automatic population HARDI white matter tract clustering by label fusion of multiple tract atlases
Jin, Y., Shi, Y., Zhan, L., Li, J., de Zubicaray, Greig I., McMahon, K. L., Martin, N. G., Wright, M. J., & Thompson, P. M. (2012) Automatic population HARDI white matter tract clustering by label fusion of multiple tract atlases. In Yap, Pew-Thian, Liu, Tianming, Shen, Dinggang, Westin, Carl-Fredrik, & Shen, Li (Eds.) Multimodal Brain Image Analysis: Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings, Springer Berlin Heidelberg, Nice, France, pp. 147-156.
Automatic labeling of white matter fibres in diffusion-weighted brain MRI is vital for comparing brain integrity and connectivity across populations, but is challenging. Whole brain tractography generates a vast set of fibres throughout the brain, but it is hard to cluster them into anatomically meaningful tracts, due to wide individual variations in the trajectory and shape of white matter pathways. We propose a novel automatic tract labeling algorithm that fuses information from tractography and multiple hand-labeled fibre tract atlases. As streamline tractography can generate a large number of false positive fibres, we developed a top-down approach to extract tracts consistent with known anatomy, based on a distance metric to multiple hand-labeled atlases. Clustering results from different atlases were fused, using a multi-stage fusion scheme. Our "label fusion" method reliably extracted the major tracts from 105-gradient HARDI scans of 100 young normal adults. © 2012 Springer-Verlag.
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|Item Type:||Conference Paper|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2012 Springer-Verlag Berlin Heidelberg|
|Deposited On:||01 Sep 2015 01:58|
|Last Modified:||03 Sep 2015 04:57|
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