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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 of baby diffusion MRI data requires a dedicated pipeline. We introduce a pipeline that will allow brain researchers to process and analyze the BCP data to answer important questions about early human brain development.
Figure 1. Overview of the baby dMRI processing pipeline.
Figure 5. Six challenging white matter pathways identified by our pipeline for a subject scanned longitudinally.