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Combination of shape-constrained and inflation deformable models with application to the segmentation of the left atrial appendage

机译:结合形状受限和膨胀变形模型,将其应用于左心耳的分割

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This paper introduces a method for the flexible model-based segmentation of the whole heart from 3D CT images. The novelty of the approach is the combination in a single framework of two types of deformable models. The anatomical structures with well defined shapes (like the cardiac chambers) are segmented with deformable models constraining the deforming surface to stay close to some shape prior. On the other hand, structures with highly variable shapes are extracted by locally inflating the deforming surface without strong assumptions on the shape of the object to segment. The proposed method has been applied to the segmentation of the heart of 17 patients. Cardiac chambers and major vessels were segmented using shape-constrained deformable models while the left atrial appendage (LAA) was extracted using the mesh inflation. Qualitatively, the mesh resulting from the inflation adapts well to the difficult shape of the LAA. However, reaching the very tip of this elongated structure remains difficult. These results are numerically confirmed with manually generated reference segmentations.
机译:本文介绍了一种基于柔性模型的3D CT图像全心分割方法。该方法的新颖之处在于将两种类型的可变形模型组合在一个单一的框架中。具有可明确定义的形状的解剖结构(如心腔)通过可变形模型进行分割,这些可变形模型限制了变形表面以保持接近某个先验形状。另一方面,通过对变形表面进行局部充气来提取形状高度可变的结构,而无需对要分割的物体的形状有很强的假设。该方法已应用于17例患者的心脏分割。使用形状受限的可变形模型对心房和主要血管进行分割,同时使用网状充气提取左心耳(LAA)。定性地讲,由膨胀产生的网格可以很好地适应LAA的困难形状。但是,要达到这种细长结构的最顶端仍然很困难。这些结果通过手动生成的参考细分进行了数值确认。

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