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We present a novel method for tracking the left ventricle (LV) in three-dimensional ultrasound data using an hybrid approach combining segmentation and tracking-based clues. This is accomplished by coupling an affine motion model to an existing LV segmentation framework and introducing an energy term that penalizes the deviation to the affine motion estimated using a global Lucas-Kanade algorithm...
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 extend a level-set method recently proposed in [1] in order to track the whole myocardium in echocardiographic sequences...
We recently proposed a generic framework for real-time 3D segmentation (BEAS) and we demonstrated that it allows real-time segmentation of volumetric cardiac US sequences. Nevertheless, typical artifacts in RT3DE, such as lateral wall dropout and near-field artifacts still pose some challenges. The aim of the present study was to develop a real-time 3D LV automatic segmentation/tracking framework...
This paper describes a free open source software in Matlab (named Creaseg, http://www.creatis.insa-lyon. fr/~bernard/creaseg) for the evaluation of the performance of different level-set based algorithms in the context of 2D image segmentation. The platform gives access to the implementation of six level-set methods that have been chosen in order to cover a wide range of data attachment terms (contour,...
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