Abstract #4690

MRI guided hierarchical sectioning and stitching of brain blocks for alignment of digitized histology to corresponding MR images

Sethu K. Boopathy Jegathambal^1,2,3, Kelvin Mok^1,2,3, David A. Rudko^1,2,3,4, and Amir Shmuel^1,2,3,4

¹Department of Biomedical Engineering, McGill University, Montreal, QC, Canada, ²McConnell Brain Imaging Center, McGill University, Montreal, QC, Canada, ³Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada, ⁴Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada

Ex-vivo MRI of brain tissue can provide important morphological and microstructural information. MR images can also serve as undistorted references for reconstruction of digitized histology, immunohistochemistry or clearing techniques. However, due to space constraints imposed by small animal scanners, imaging a whole human brain generally requires a large bore scanner with limited gradient system performance and constraints on achievable spatial resolution. Importantly, large histology sections cut from large brains are prone to distortions, tears and folding. Here we present a method for MRI guided, hierarchical sectioning and stitching of brain blocks for alignment of digitized processed tissue to corresponding MRI volumes.

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