Purpose

Mitral valve computational models are widely studied in the literature. They can be used for preoperative planning or anatomical understanding. Manual extraction of the valve geometry on medical images is tedious and requires special training, while automatic segmentation is still an open problem.

Methods

We propose here a fully automatic pipeline to extract the valve chordae architecture compatible with a computational model. First, an initial segmentation is obtained by sub-mesh topology analysis and RANSAC-like model-fitting procedure. Then, the chordal structure is optimized with respect to objective functions based on mechanical, anatomical, and image-based considerations.

Results

The approach has been validated on 5 micro-CT scans with a graph-based metric and has shown an \(87.5\%\) accuracy rate. The method has also been tested within a structural simulation of the mitral valve closed state.

Conclusion

Our results show that the chordae architecture resulting from our algorithm can give results similar to experienced users while providing an equivalent biomechanical simulation.

中文翻译：

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自动提取二尖瓣腱索的几何形状以进行生物力学模拟

目的

二尖瓣计算模型在文献中得到了广泛的研究。它们可用于术前计划或解剖学理解。手动提取医学图像上的瓣膜几何结构很繁琐，需要专门的培训，而自动分割仍然是一个未解决的问题。

方法

我们在这里提出了一种全自动管道，以提取与计算模型兼容的瓣膜腱索结构。首先，通过子网格拓扑分析和类似RANSAC的模型拟合过程获得初始分割。然后，基于机械，解剖和基于图像的考虑，针对目标函数优化弦结构。

结果

该方法已通过基于图形的度量标准在5次微CT扫描中得到验证，并且显示出\（87.5 \％\）的准确率。该方法还已经在二尖瓣关闭状态的结构模拟中进行了测试。

结论

我们的结果表明，由我们的算法产生的弦结构可以提供与有经验的用户相似的结果，同时提供等效的生物力学模拟。