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Abstract #3382

MR fingerprinting based on realistic vasculature in mice: identifiability of physiological parameters

Philippe Pouliot 1,2 , Louis Gagnon 3 , Tina Lam 4 , Pramod Avti 5 , Michle Desjardins 1 , Ashok Kakkar 4 , Sava Sakadzic 3 , David Boas 3 , and Frdric Lesage 1

1 Electrical Engineering, Ecole Polytechnique Montreal, Montreal, QC, Canada, 2 Research Centre, Montreal Heart Institute, Montreal, QC, Canada, 3 Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, MA, United States, 4 Chemistry Department, McGill University, QC, Canada, 5 Montreal Heart Institute, QC, Canada

MR vascular fingerprinting is a novel approach to estimate cerebral blood volume, vessel radius and oxygenation. To our knowledge, this approach has not yet been fully validated. Here we implemented the sequence in mice and exploited a dictionary built on simulations of the MR signal based on realistic vasculature built on 2-photon angiograms. A dictionary for fingerprint extraction was generated by sampling along 5 parameters: hemoglobin saturation, vessel radius, capillary density, SPION concentration and magnetic field inhomogeneity. Following linearization, the dictionary eigensystem was characterized. This confirmed that all its eigenvalues are positive and distinct, and therefore all parameters studied are theoretically identifiable.

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