Title: New semi-automated segmentation approach of the left ventricle applied to cine MR images analysis

Authors: Mahammed Messadi; Abdelhafid Bessaid; Sihem Lazzouni

Addresses: Biomedical Engineering Laboratory GBM, Tlemcen University, Algeria ' Biomedical Engineering Laboratory GBM, Tlemcen University, Algeria ' Biomedical Engineering Laboratory GBM, Tlemcen University, Algeria

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.

Keywords: cardiac MRI image; left ventricle; active contour; border detection; region growing; ejection volume; comparison.

DOI: 10.1504/IJAPR.2018.090517

International Journal of Applied Pattern Recognition, 2018 Vol.5 No.1, pp.40 - 54

Received: 05 Jun 2017
Accepted: 22 Dec 2017
Published online: 19 Mar 2018 *

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