Meeting Banner
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).

This abstract and the presentation materials are available to members only; a login is required.

Join Here