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Level Set Segmentation of the Fetal Heart

机译:胎儿心脏的水平分割

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Segmentation of the fetal heart can facilitate the 3D assessment of the cardiac function and structure. Ultrasound acquisition typically results in dropout artifacts of the chamber walls. This paper presents a level set deformable model to simultaneously segment all four cardiac chambers using region based information. The segmented boundaries are automatically penalized from intersecting at walls with signal dropout. Root mean square errors of the perpendicular distances between the algorithm's delineation and manual tracings are within 7 pixels (< 2mm) in 2D and under 3 voxels (< 4.5mm) in 3D. The ejection fraction was determined from the 3D dataset. Future work will include further testing on additional datasets and validation on a phantom.
机译:胎儿心脏的分割可以促进心脏功能和结构的3D评估。超声采集通常导致腔室壁的丢失伪像。本文介绍了一个水平设置可变形模型,可以使用基于区域的信息同时分段为所有四个心脏腔室。分段边界自动因信号丢失的墙壁交叉而自动惩罚。算法描绘和手动曲线之间的垂直距离的根均方误差在2D和3D中的3个voxels(<4.5mm)内为7个像素(<2mm)。从3D数据集确定喷射分数。未来的工作将包括对额外数据集的进一步测试和幻影验证。

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