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Abstract #0692

Towards whole-brain, quantitative characterisation of microscopy-derived microstructure in the BigMac dataset

Amy FD Howard1, Istvan N Huszar1, Silei Zhu1, Daniel ZL Kor1, Lea Roumazeilles2, Saad Jbabdi1, and Karla L Miller1
1Wellcome Centre for Integrative Neuroimaging (FMRIB Centre), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, Experimental Psychology, Medical Sciences Division, University of Oxford, Oxford, United Kingdom

Synopsis

Keywords: Validation, Diffusion/other diffusion imaging techniques, Microstructure characterisation, microscopyThe BigMac dataset is an open access resource combining in vivo MRI, postmortem MRI and multi-contrast microscopy data in a single, whole macaque brain. Here we perform data-driven segmentation of the BigMac histology slides to extract quantitative microscopy metrics for myelin, cell density, and cellular morphology (e.g. soma size and packing). Utilising high-quality MRI-microscopy registrations, we work towards building 3D volumes of quantitative microscopy derived metrics obtained at high resolution. This “ground truth” atlas of how cellular distributions vary across the brain is then directly related to co-registered diffusion MRI acquired in the same tissue.

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Keywords