A Fast Convexity Preserving Level Set Method for Segmentation of Cardiac Left Ventricle

Xue Shi, L. Tang, Xiaoping Yang, Shaoxiang Zhang, Chunming Li
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引用次数: 3

Abstract

In this paper, anatomical characteristic of convexity of left ventricles (LV) is incorporated in the level set segmentation framework to improve the accuracy of the algorithm. In order to maintain the convexity of endocardial and epicardial contour, we use the two-layer level set model combined with periodical convexification of the level sets, which eliminates the troublesome interference caused by the papillary muscle and the trabeculae. We use the MICCAI 2009 left ventricle segmentation challenge data to test and validate our method. Qualitative experiments demonstrate the effectiveness of our algorithm.
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一种快速保凸水平集分割左心室图像的方法
本文在水平集分割框架中引入左心室(LV)的凸性解剖特征,以提高算法的准确率。为了保持心内膜和心外膜轮廓的凸性,我们采用了结合水平集周期性凸化的两层水平集模型,消除了乳头肌和小梁带来的麻烦干扰。我们使用MICCAI 2009左心室分割挑战数据来测试和验证我们的方法。定性实验证明了算法的有效性。
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