Labeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics
Data(s) |
2013
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Resumo |
Accurate identification of white matter structures and segmentation of fibers into tracts is important in neuroimaging and has many potential applications. Even so, it is not trivial because whole brain tractography generates hundreds of thousands of streamlines that include many false positive fibers. We developed and tested an automatic tract labeling algorithm to segment anatomically meaningful tracts from diffusion weighted images. Our multi-atlas method incorporates information from multiple hand-labeled fiber tract atlases. In validations, we showed that the method outperformed the standard ROI-based labeling using a deformable, parcellated atlas. Finally, we show a high-throughput application of the method to genetic population studies. We use the sub-voxel diffusion information from fibers in the clustered tracts based on 105-gradient HARDI scans of 86 young normal twins. The whole workflow shows promise for larger population studies in the future. |
Identificador | |
Publicador |
IEEE |
Relação |
DOI:10.1109/ISBI.2013.6556524 Jin, Y., Shi, Y., Zhan, L., de Zubicaray, G. I., McMahon, K. L., Martin, N. G., Wright, M. J., & Thompson, P. M. (2013) Labeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics. In ISBI 2013 : 2013 10th IEEE International Symposium on Biomedical Imaging : From Nano to Macro : April 7-11, 2013, The Westin San Francisco Market Street, San Francisco, CA, IEEE, San Francisco, USA. |
Direitos |
Copyright 2013 IEEE |
Fonte |
Faculty of Health; Institute of Health and Biomedical Innovation |
Palavras-Chave | #Fiber Clustering #Genetic Heritability #HARDI #Label Fusion #Tractography |
Tipo |
Conference Paper |