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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