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Abstract #0697

Unfolded hippocampal coordinate system for quantitative mapping and subfield segmentation

Jordan DeKraker1, Kayla Ferko1, Jonathan Lau2, Stefan Köhler1, and Ali R. Khan2

1Brain and Mind Institute, Western University, London, ON, Canada, 2Robarts Research Institute, Western University, London, ON, Canada

This work presents a novel computational technique for unfolding the hippocampus, providing a smooth and consistent mapping from native 3D space to a common coordinate system that is intrinsically defined by hippocampal anatomy. This coordinate system allows for laminar-based sampling of quantitative volumetric data and a means to pool data across subjects without additional registration or warping. We demonstrate the value of this technique with data from a set of healthy young participants scanned at 7T, taking advantage of high-resolution isotropic imaging for visualizing intra-hippocampal features, and employ a single surgical patient case with histology for validation.

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