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Segmentation of cardiac cine-MR images and myocardial deformation assessment using level set methods.

机译:使用水平集方法对心脏电影MR图像进行分割并评估心肌变形。

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In this paper, we present an original method to assess the deformations of the left ventricular myocardium on cardiac cine-MRI. First, a segmentation process, based on a level set method is directly applied on a 2D+t dataset to detect endocardial contours. Second, the successive segmented contours are matched using a procedure of global alignment, followed by a morphing process based on a level set approach. Finally, local measurements of myocardial deformations are derived from the previously determined matched contours. The validation step is realized by comparing our results to the measurements achieved on the same patients by an expert using the semi-automated HARP reference method on tagged MR images.
机译:在本文中,我们提出了一种在心脏电影MRI上评估左心室心肌变形的原始方法。首先,将基于水平集方法的分割过程直接应用于2D + t数据集以检测心内膜轮廓。其次,使用全局对齐的过程来匹配连续的分段轮廓,然后进行基于水平集方法的变形处理。最后,从先前确定的匹配轮廓中得出心肌变形的局部测量值。验证步骤是通过将我们的结果与专家使用相同的患者在已标记MR图像上使用半自动HARP参考方法进行的测量结果进行比较来实现的。

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