Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set
Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set
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DOI：
10.1016/j.media.2011.10.003
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发表时间：
2012-02-01
影响因子：
10.9
通讯作者：
Bernard, O.
中科院分区：
文献类型：
--
作者：
Dietenbeck, T.;Alessandrini, M.;Bernard, O.
超声心动图图像中心肌的分割是心脏病诊断的一项重要任务。由于回波描记图像的固有问题（即，低对比度、斑点噪声、信号丢失、阴影的存在），该任务是困难的。在这篇文章中，我们提出了一种方法来分割整个心肌（内膜和心外膜轮廓）的二维回波图像。这是通过使用水平集模型来实现的，该水平集模型受到允许对两个轮廓进行建模的新形状制剂的约束。这项工作的新奇还在于这样一个事实，即我们的框架允许分割整个心肌的四个主要意见在临床常规。该方法在临床图像数据集上进行了验证，并与专家分割进行了比较。(C)2011 Elsevier B.V.保留所有权利。
The segmentation of the myocardium in echocardiographic images is an important task for the diagnosis of heart disease. This task is difficult due to the inherent problems of echographic images (i.e. low contrast, speckle noise, signal dropout, presence of shadows). In this article, we propose a method to segment the whole myocardium (endocardial and epicardial contours) in 2D echographic images. This is achieved using a level-set model constrained by a new shape formulation that allows to model both contours. The novelty of this work also lays in the fact that our framework allows to segment the whole myocardium for the four main views used in clinical routine. The method is validated on a dataset of clinical images and compared with expert segmentation. (C) 2011 Elsevier B.V. All rights reserved.