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3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering

Publication ,  Journal Article
Jin, Y; Shi, Y; Jahanshad, N; Aganj, I; Sapiro, G; Toga, AW; Thompson, PM
Published in: Proceedings - International Symposium on Biomedical Imaging
November 2, 2011

High angular resolution diffusion imaging (HARDI) allows population studies of fiber integrity and connectivity. Tractography can extract individual fibers. For group studies, fibers must be clustered into recognizable bundles found consistently across subjects. Nonlinear image registration may improve population clustering. To test this, we performed whole-brain tractography with an orientation distribution function based Hough transform method in 20 young adults scanned with 4 Tesla, 105-gradient HARDI. We warped all extracted fibers to a geometrically-centered template using a 3D elastic registration driven by fractional anisotropy maps, to align embedded tracts. Fiber alignment was evaluated by calculating distances among corresponding fibers across subjects. Before and after warping, we performed spectral clustering of the fibers using a k-means method, based on eigenvectors of a fiber similarity matrix. In tests with an overlap metric, non-rigid fiber warping yielded more robust clustering results. Non-rigid warping is therefore advantageous for population studies using multi-subject tract clustering. © 2011 IEEE.

Duke Scholars

Published In

Proceedings - International Symposium on Biomedical Imaging

DOI

EISSN

1945-8452

ISSN

1945-7928

Publication Date

November 2, 2011

Start / End Page

822 / 826
 

Citation

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Jin, Y., Shi, Y., Jahanshad, N., Aganj, I., Sapiro, G., Toga, A. W., & Thompson, P. M. (2011). 3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering. Proceedings - International Symposium on Biomedical Imaging, 822–826. https://doi.org/10.1109/ISBI.2011.5872531
Jin, Y., Y. Shi, N. Jahanshad, I. Aganj, G. Sapiro, A. W. Toga, and P. M. Thompson. “3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering.” Proceedings - International Symposium on Biomedical Imaging, November 2, 2011, 822–26. https://doi.org/10.1109/ISBI.2011.5872531.
Jin Y, Shi Y, Jahanshad N, Aganj I, Sapiro G, Toga AW, et al. 3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering. Proceedings - International Symposium on Biomedical Imaging. 2011 Nov 2;822–6.
Jin, Y., et al. “3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering.” Proceedings - International Symposium on Biomedical Imaging, Nov. 2011, pp. 822–26. Scopus, doi:10.1109/ISBI.2011.5872531.
Jin Y, Shi Y, Jahanshad N, Aganj I, Sapiro G, Toga AW, Thompson PM. 3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering. Proceedings - International Symposium on Biomedical Imaging. 2011 Nov 2;822–826.

Published In

Proceedings - International Symposium on Biomedical Imaging

DOI

EISSN

1945-8452

ISSN

1945-7928

Publication Date

November 2, 2011

Start / End Page

822 / 826