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Abstract #0079

The joint registration of multiple microscopy contrasts to MRI in the BigMac dataset

Istvan N Huszar1, Silei Zhu2, Adele Smart2, Saad Jbabdi2, Karla L Miller2, and Amy F.D. Howard2
1Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2University of Oxford, Oxford, United Kingdom

Synopsis

Keywords: Data Processing, Data Processing, registration, microscopy, histology, postmortem, macaqueWe built a novel pipeline to register 290 high-resolution multi-contrast microscopy sections in the BigMac dataset to post-mortem MRI with sub-millimetre accuracy. The MRI-microscopy alignment is optimised over all microscopy sections jointly, to achieve high-quality co-registration whilst ensuring the slide order and separation is consistent with how the tissue was sectioned. We demonstrate the accuracy of the registration by overlaying FreeSurfer-estimated grey-white matter contours on orthogonal sections of 3D volumetric reconstructions of each microscopy modality. Our pipeline provides an integrated workflow for diffusion-microscopy studies using the BigMac dataset, which is openly available via the Oxford Digital Brain Bank.

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Keywords