Abstract #1697

An Automated Processing Pipeline for Diffusion MRI in the Baby Connectome Project

Ye Wu¹, Sahar Ahmad¹, Khoi Minh Huynh¹, Siyuan Liu¹, Kim-Han Thung¹, Weili Lin¹, Pew-Thian Yap¹, and UNC/UMN Baby Connectome Project Consortium¹

¹Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, Chapel Hill, NC, United States

Processing baby diffusion MRI (dMRI) data is challenging due to the low and spatially-varying diffusion anisotropy, rendering standard analysis techniques developed for adult data inapplicable [1,2]. Here, we present a fully-automated processing pipeline for baby dMRI, tailored particularly to the data collected in the Baby Connectome Project (BCP).

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