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Abstract #1870

Fetal Cortical Plate Segmentation using 2D Recurrent Residual U-Net with Plane Aggregation 

Jinwoo Hong1,2, HyukJin Yun1, Gilsoon Park2, Jong-Min Lee2, and Kiho Im1
1Division of Newborn Medicine, Boston Children's Hospital, BOSTON, MA, United States, 2Hanyang University, Seoul, Korea, Republic of

Quantitative measurements about sulcal patterns are a basic approach to characterize the possibility of neurological disorders. In this study, we used recurrent residual U-Net. Also, to improve the accuracy of segmentation, the models of each plain in the MR image were produced separately and the results combined. As a result, the cortical plate segmentation showed an average dice coefficient of 0.901 ± 0.030, and segmentation for the internal region of the cortical plate showed 0.978 ± 0.010. The proposed method is expected to be useful as a quantitative developmental measurement of the fetus.

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