Accurate Left Ventricular Segmentation Based on Morphological Watershed Transformation Towards 3D Visualization

Khouloud Boukhris , Ramzi Mahmoudi (1) , Badii Hmida , Mohamed Hédi Bedoui

1 LIGM - Laboratoire d'Informatique Gaspard-Monge

The current challenge for image treatment, targeting the heart ventricles (LV and RV), consists on ensuring an accurate automatic segmentation aiming to identify the myocardial contours. In this paper we propose an automatic watershed-based segmentation of the left ventricle (LV)based on topology, geometry and brightness priors. We attempted to demonstrate the accuracy of our proposed approach by comparing it with other manual segmentations carried out by two clinical experts, on 20 patients. In the aim of obtaining an accurate 3D reconstruction, we propose the volumetric object reconstruction method using The Visualization Toolkit VTK .Furthermore, the 3D+t assessment is used for the examination of the dynamic behavior of the LV to reveal regions of myocardial dysfunction.

Mots clés: Watershed; Segmentation; Left Ventricular; Accuracy; 3D

Domaines: Informatique [cs]; Imagerie médicale

Khouloud Boukhris, Ramzi Mahmoudi, Badii Hmida, Mohamed Hédi Bedoui. Accurate Left Ventricular Segmentation Based on Morphological Watershed Transformation Towards 3D Visualization. Digital Health in Focus of Predictive, Preventive and Personalised Medicine, , pp.51-58, 2020, ⟨10.1007/978-3-030-49815-3_7⟩. ⟨hal-03112517⟩