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Abstract #3429

Magnetic resonance fingerprinting for fetal imaging at 3T - initial results

Borjan Gagoski 1 , Huihui Ye 2 , Stephen Cauley 2 , Himanshu Bhat 3 , Kawin Setsompop 2 , Itthi Chatnuntawech 4 , Adrian Martin 4,5 , Yun Jiang 6 , Mark Griswold 6 , Elfar Adalsteinsson 4,7 , P. Ellen Grant 1 , and Lawrence Wald 2,7

1 Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 2 A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 3 Siemens Medical Solutions USA Inc, Charlestown, MA, United States, 4 Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 5 Applied Mathematics, Universidad Rey Juan Carlos, Madrid, Spain, 6 Biomedical Enginneering, Case Western Reserve University, Cleveland, OH, United States, 7 Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

Magnetic resonance fingerprinting is a new promising technique that enables robust estimation of tissue's T1 and T2 maps even in the presence of motion. As such, MRF seems well suited for estimation of fetal tissue parameters, particularly given the random motion of the fetus. We have tested the feasibility of MRF for fetal imaging at 3T, and present our preliminary results showing estimates of T1 and T2 maps of the fetal brain at 21 weeks of gestation.

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