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Abstract #3577

Fetal Brain Motion Estimation to Evaluate Motion-induced Artifacts in HASTE MRI

Yi Xiao1, Muheng Li1, Ruizhi Liao2,3, Tingyin Liu3, Junshen Xu2, Esra Turk4, Borjan Gagoski4,5, Karen Ying1, Polina Golland2,3, P.Ellen Grant4,5, and Elfar Adalsteinsson2,6
1Department of Engineering Physics, Tsinghua University, Beijing, China, 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 3Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, United States, 4Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 5Harvard Medical School, Boston, MA, United States, 6Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States

Artifacts generated by severe and unpredictable fetal and maternal movements during MRI limit the success of imaging during pregnancy. Although modern clinical applications use single-shot imaging sequences, such as HASTE, to partially mitigate this problem, inter-slice motion artifacts are unavoidable and their impact on fetal imaging is not fully characterized. In order to analyze this problem, we exploit a large repository of volumetric EPI over long duration across many pregnant women to estimate the artifact load due to inter-slice motion on single-shot fetal brain MRI.

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