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Abstract #4341

Model-Free, Fast, and Automated Correction of Diffusion Gradient Orientations

Ye Wu1, Yoonmi Hong1, Weili Lin1, Pew-Thian Yap1, and the UNC/UMN Baby Connectome Project Consortium1
1Department of Radiology and BRIC, University of North Carolina, Chapel Hill, Chapel Hill, NC, United States

We propose a rapid and automated method to rectify incorrect gradient orientations resulting from inconsistencies in coordinate frame conventions across scanners, file formats, and processing tools. Using these incorrect gradient orientations will invalidate subsequent derived quantities that are dependent on local orientation information, particularly tractography. Our approach to correcting the gradient orientations is based on maximizing an orientation continuity index that is computed directly from the diffusion-weighted images without the need for model fitting.

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