Meeting Banner
Abstract #4846

Automated slice-to-volume registration between histology and whole-brain post-mortem MRI

Istvan N Huszar1,2, Menuka Pallebage-Gamarallage2, Benjamin C. Tendler1,2, Sean Foxley3, Mattias P. Heinrich4, Martin R. Turner2, Olaf Ansorge2, Karla L. Miller1,2, and Mark Jenkinson1,2

1Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford, United Kingdom, 2Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3Department of Radiology, University of Chicago, Chicago, IL, United States, 4Institute of Medical Informatics, Universität zu Lübeck, Lübeck, Germany

Validating MRI data against histological ground truth is essential in the process of devising disease-specific imaging biomarkers that are sensitive to early microstructural changes in neurodegeneration. Current MRI–histology registration techniques are too labour- or resource-intensive to be used in large-scale studies. We introduce an automated pipeline for registering sparsely sampled, small (25x30mm) 2D stained histological images with 3D post-mortem MRI of the whole human brain. Our tests indicate sub-voxel (<0.5 mm) precision using simulated data, and <1 mm precision with real data. Implemented in a new, flexible image registration framework (TIRL), the pipeline is adaptable to various research needs.

This abstract and the presentation materials are available to members only; a login is required.

Join Here