Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2241
Title: Methodology for Jointly Assessing Myocardial Infarct Extent and Regional Contraction in 3-D CMRI
Authors: Chenoune, Yasmina
Barakat, Claire
Constantinides, Constantinos
Berbari, Racha El 
Affiliations: Department of Telecommunications and Networking Engineering 
Keywords: Myocardium
Indexes
Cavity resonators
Motion segmentation
Heart
Subjects: Image segmentation
Visualization
Issue Date: 2012
Part of: IEEE transactions on biomedical engineering
Volume: 59
Issue: 9
Start page: 2650
End page: 2659
Abstract: 
Automated extraction of quantitative parameters from cardiac magnetic resonance images is crucial for the management of patients with myocardial infarct. This paper proposes a postprocessing procedure to jointly analyze Cine and delayed-enhanced (DE) acquisitions, in order to provide an automatic quantification of myocardial contraction and enhancement parameters and a study of their relationship. For that purpose, the following processes are performed: 1) DE/Cine temporal synchronization and 3-D scan alignment, 2) 3-D DE/Cine rigid registration in a region about the heart, 3) myocardium segmentation on Cine-MRI and superimposition of the epicardial and endocardial contours on the DE images, 4) quantification of the myocardial infarct extent (MIE), 5) study of the regional contractile function using a new index, the amplitude to time ratio (ATR). The whole procedure was applied to ten patients with clinically proven myocardial infarction. The comparison between the MIE and the visually assessed regional function scores demonstrated that the MIE is highly related to the severity of the wall motion abnormality. In addition, it was shown that the newly developed regional myocardial contraction parameter (ATR) decreases significantly in delayed enhanced regions. This largely automated approach enables the combined study of regional MIE and left ventricular function.
URI: https://scholarhub.balamand.edu.lb/handle/uob/2241
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Telecommunications and Networking Engineering

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