Abstract #2054

Non-linear Distortion Correction in Human Optic Nerve Diffusion Imaging

Joo-won Kim^1,2, Jesper LR Andersson³, Peng Sun⁴, Sheng-Kwei Song⁴, Robert Naismith⁵, and Junqian Xu^1,2,6

¹Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ²Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ³Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom, ⁴Department of Radiology, Washington University, St. Louis, MO, United States, ⁵Department of Neurology, Washington University, St. Louis, MO, United States, ⁶Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States

A major challenge in optic nerve diffusion MRI is the non-linear optic nerve distortion induced by eye-ball movement. In this work, we developed and evaluated a non-linear registration scheme to improve optic nerve edge alignment over conventional diffusion imaging distortion correction methods. Optic nerve edge plots (both 1D and 2D) were used to evaluate the optic nerve edge alignment for different non-linear registration methods (FSL/fnirt and ANTs) after FSL/topup and FSL/eddy correction of unprocessed diffusion images. Overall, the additional non-linear registration step, regardless of the non-linear registration method used, substantially improved optic nerve edge alignment along all diffusion measurement frames.

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