Keywords: Signal Representations, Brain, MR-histologyTo infer cellular-level information from MR signals with high sensitivity and specificity is a challenging task. We previously demonstrated the feasibility of mapping myelin in the mouse brain based on multi-contrast MRI using deep learning, but the results were based on limited histological data and MRI data from separate cohorts. In this study, we acquired serial 2-photon and MRI data from the same mice and trained a neural network for mapping myelin. Our results demonstrated enhanced sensitivity and specificity compared to conventional MRI myelin markers, our previous network, and polynomial fitting.
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