New semi-automated segmentation approach of the left ventricle applied to cine MR images analysis. (2018)

• Record Type: Journal Article
• Authors: Messadi, Mahammed; Bessaid, Abdelhafid; Lazzouni, Sihem
• Is Part Of: International journal of applied pattern recognition. Volume 5:Number 1(2018)
• Page Start: 40
• Page End: 54
• Publication Date: 2018
• Subjects: cardiac MRI image -- left ventricle -- active contour -- border detection -- region growing -- ejection volume -- comparison; Pattern perception -- Periodicals; Pattern recognition systems -- Periodicals; 006.405
• Languages: English
• ISSNs: 2049-887X

Abstract

Cardiovascular abnormalities have become one of the most dangerous diseases. They affect people around the entire world and some countries are more concerned by this illness. In this paper, a new methodological approach dedicated to analyse and delineate the short-axis cardiac MRI of the left ventricle (LV) is presented. In this case, thresholding and morphological operation, active contours model and region growing are combined to extract endocardial exactly. The systole volume (VTS), diastole volume (VTD) and ejection volume (EV) are then successively calculated to predict the cardiovascular diseases. The results are validated by a database (Cousty et al., 2010) where the expert manual contouring was available and the similarity index (Jaccard index) between the proposed method and expert segmentations are calculated. After discussion, we conclude that the presented method leads to satisfying results end-diastolic endocardium (0.92) and end-systolic endocardium (0.88), achieving both fast calculation and accuracy objectives.