Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set

T. Dietenbeck (1) , Martino Alessandrini (2) , C. Barbosa (3) , Jan d'Hooge (3) , Denis Friboulet (1) , Olivier Bernard (1)

1 Images et Modèles
2 ARCES - Advanced Research Center on Electronic Systems for Information and Communication Technologies E. De Castro [Bologna]
3 Laboratory of Cardiovascular Imaging and Dynamics

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.

Domaines: Traitement du signal et de l'image [eess.SP]

T. Dietenbeck, Martino Alessandrini, C. Barbosa, Jan d'Hooge, Denis Friboulet, et al.. Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set. Medical Image Analysis, 2012, 16 (2), pp.386-401. ⟨10.1016/j.media.2011.10.003⟩. ⟨hal-00796887⟩