Abstract #3577

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

Yi Xiao¹, Muheng Li¹, Ruizhi Liao^2,3, Tingyin Liu³, Junshen Xu², Esra Turk⁴, Borjan Gagoski^4,5, Karen Ying¹, Polina Golland^2,3, P.Ellen Grant^4,5, and Elfar Adalsteinsson^2,6

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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