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Abstract #4975

COMEDI: A Toolkit for Lifespan Computational Diffusion MRI

Ye Wu1, Sahar Ahmad1, Khoi Minh Huynh1, Tiantian Xu1, and Pew-Thian Yap1
1Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Synopsis

Processing and analyzing diffusion MRI (dMRI) data is important for uncovering the neural underpinnings of white matter (WM) development and degeneration across the human lifespan. Here, we introduce a robust and integrative toolkit, called Computational Medical Imaging (COMEDI), for processing, analyzing, and visualizing lifespan dMRI data.

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