Abstract #0687

Brain in a virtual Petri dish: Flattening high resolution cortex patches in MRI and histology

Omer Faruk Gulban^1,2, Renzo Huber³, Konrad Wagstyl⁴, Saskia Bolmann⁵, Dimo Ivanov³, Kendrick Kay⁶, and Rainer Goebel^2,3

¹Cognitive Neuroscience Department, Maastricht University, Maastricht, Netherlands, ²Brain Innovation, Maastricht, Netherlands, ³Cognitive Neuroscience, Maasticht University, Maastricht, Netherlands, ⁴UCL, London, United Kingdom, ⁵Center for Advanced Imaging, The University of Queensland, Queensland, Australia, ⁶Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

Synopsis

High resolution imaging poses analysis challenges in the daily lives of high-resolution imaging researchers (high res. MRI, histology). One challenge is flattening patches of the cortex to study the cortical topography. We demonstrate a method that works in volume without requiring triangular meshes to represent the cortical surfaces at any stage of the algorithm. This approach for surface mapping enables mesoscopic analysis of cortical architecture. Our method is specifically developed for -but not limited to- flattening patches of the cortex. We implement our patch flattening as a C++ program and make it freely available within LayNii v2.1.0.

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