AUTHORS: Sainz Martinez C, Lemay M, Bach Cuadra M, Jorge J

Proceedings of the 29th ISMRM & SMRT Annual Meeting, : , Online, May 2021

ABSTRACT

With the increasing importance of ultra-high field systems, suitable simulation platforms are needed for the development of high-resolution imaging methods. Here, we propose a realistic computational brain phantom at 100μm resolution, by mapping fundamental MR properties (e.g., T1, T2, coil sensitivities) from existing brain MRI data to the fine-scale anatomical space of BigBrain, a publicly-available 100μm-resolution ex-vivo image obtained with optical methods. We propose an approach to map image contrast from lower-resolution MRI data to BigBrain, retaining the latter’s fine structural detail. We then show its value for methodological development in two applications: super-resolution, and reconstruction of highly-undersampled k-space acquisitions.

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