Title: A new hybrid method for left ventricular analysis in cardiac cine MRI

Authors: Sarra Dali Youcef; Mahammed Messadi

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

Abstract: The increase of deaths by cardiac arrest each year makes the computer-aided diagnosis a necessity for prognosis of cardiovascular diseases. The cardiac MRI is an imaging technique commonly used for the heart's exploration. In order to analyse the cardiac function in MR images, the segmentation phase of the left ventricle (LV) is a necessary step. Wherefore, thresholding, region growing and active contour model are combined in our approach to obtain the LV form exactly. Finally, the end-diastolic volume (EDV), end-systolic volume (ESV) and ejection fraction (EF) are calculated for the LV function quantification. The whole process is applied to the heart database, where the expert's manual contour is available. Our approach leads to satisfying results with a correlation of 97% for EDV, 96% for ESV and 89% for EF between the proposed method and expert's parameters. They confirm the accuracy of the approach and its eventual aid in diagnosis.

Keywords: left ventricle; cardiac cine MR images; segmentation; thresholding; region growing; active contour; characterisation; end-diastolic volume; end systolic volume; ejection fraction.

DOI: 10.1504/IJMEI.2022.125313

International Journal of Medical Engineering and Informatics, 2022 Vol.14 No.5, pp.402 - 413

Received: 12 Aug 2020
Accepted: 26 Nov 2020
Published online: 07 Sep 2022 *

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