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MR vascular Fingerprinting proposes to use the MR Fingerprinting framework toquantitatively and simultaneously map several microvascular characteristics ata sub-voxel scale. The initial implementation assessed the local bloodoxygenation saturation (SO 2), blood volume fraction (BVf) and vessel averagedradius (R) in humans and rodent brains using simple 2D representations of thevascular network during dictionary generation. In order to improve the resultsand possibly extend the approach to pathological environments and otherbiomarkers, we propose in this study to use 3D realistic vascular geometries inthe numerical simulations. 28,000 different synthetic voxels containingvascular networks segmented from whole brain healthy mice microscopy imageswere created. A Bayesian-based regression model was used for mapreconstruction. We show on 8 healthy and 9 tumor bearing rats that realisticvascular representations yield microvascular estimates in better agreement withthe literature than 2D or 3D cylindrical models. Furthermore, tumoral bloodoxygenation estimates obtained with the proposed approach are the only onescorrelating with in vivo optic-fiber measurements performed in the sameanimals.

Enhancing MR vascular Fingerprinting through realistic microvascular geometries