Agreement between the white matter connectivity based on the tensor-based 
morphometry and the volumetric white matter parcellations based on diffusion 
tensor imaging

Kim, Seung-Goo; Hyekyoung, Lee; Chung, Moo. K.; Hanson, Jamie L.; Avants, Brian B.; Gee, James C.; Davidson, Richard J.; Pollak, Seth D.

doi:10.1109/ISBI.2012.6235479

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Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging

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Kim, S.-G., Hyekyoung, L., Chung, M. K., Hanson, J. L., Avants, B. B., Gee, J. C., et al. (2012). Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging. In Proceedings of the 9th IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 42-45).

Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-73B7-6

Abstract

We are interested in investigating white matter connectivity using a novel computational framework that does not use diffusion tensor imaging (DTI) but only uses T1-weighted magnetic resonance imaging. The proposed method relies on correlating Jacobian determinants across different voxels based on the tensor-based morphometry (TBM) framework. In this paper, we show agreement between the TBM-based white matter connectivity and the DTI-based white matter atlas. As an application, altered white matter connectivity in a clinical population is determined.