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Abstract #4470

RIPPLE: A new framework for estimating rotationally-invariant with paired-ODF spatial correlations in fiber tracking using MRI

Ying-Chia Lin 1,2, Steven Baete1,2, Xiuyuan Wang1,2, and Fernando Boada1,2
1Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States

Quantification of internal structure (i.e., microstructure) is central to for the modeling of diffusion signals. In recent years, rotationally-invariant measures have generated significant attention because of their tremendous potential for characterizing the underlying structural information contained in the orientation-distribution-function (ODF). We demonstrate the use of a new approach for the analysis of long-range structural connectivity based on the use of pairwise correlations between ODF’s. This approach is shown to better capture differences between the underlying morphological features present within a fiber bundle.

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