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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