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Segmentation of the fetal envelope on ante-natal MRI

机译：产前MRI对胎儿包膜的分割

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Recent improvements in MRI scanners have enabled the acquisition of spatially consistent 3D images of the fetus. While recent works focused on the fetal brain segmentation, important outcome could be obtained from the segmentation of the whole fetal body envelope, such as accurate fetal weight estimation. In this paper, we propose to segment this envelope using a semi-automatic approach. MRI images were acquired using the Steady State Free Precession sequence. Taking advantage of the T2-weighting of this sequence, a set of fetal structures is identified and a simplified model of the fetal skeleton is instantiated in the images. An articulated model of a generic fetus is then registered in the images to initialize the fetal envelope segmentation and optimized using graph-cuts to refine the segmentation. Promising and robust results were obtained on a set of nine volumes.
机译：MRI扫描仪的最新改进使得能够获取胎儿在空间上一致的3D图像。尽管最近的工作集中在胎儿脑的分割上，但从整个胎儿身体包膜的分割中可以获得重要的结果，例如精确的胎儿体重估计。在本文中，我们建议使用半自动方法对该信封进行分段。使用稳态自由进动序列获取MRI图像。利用此序列的T2加权，可以识别一组胎儿结构，并在图像中实例化简化的胎儿骨骼模型。然后在图像中注册一个通用胎儿的关节模型，以初始化胎儿的包膜分割，并使用图形切割对其进行优化以细化该分割。在一组九卷中获得了令人鼓舞和有力的结果。

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