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Open Access Comparison of Segmentation Algorithms for Detecting Myocardial Infarction Using Late Gadolinium Enhancement Magnetic Resonance Imaging

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This article is Open Access under the terms of the Creative Commons CC BY-NC licence.

Objective: The aim of this study was to validate the accuracy of a new automatic method for scar segmentation and compare its performance with that of two other frequently used segmentation algorithms.

Methods: Twenty-six late gadolinium enhancement cardiovascular magnetic resonance images of diseased hearts were segmented by the full width at half maximum (FWHM) method, the n standard deviations (nSD) method, and our new automatic method. The results of the three methods were compared with the consensus ground truth obtained by manual segmentation of the ventricular boundaries.

Results: Our automatic method yielded the highest Dice score and the lowest volume difference compared with the consensus ground truth segmentation. The nSD method produced large variations in the Dice score and the volume difference. The FWHM method yielded the lowest Dice score and the greatest volume difference compared with the automatic, 6SD, and 8SD methods, but resulted in less variation when different observers segmented the images.

Conclusion: The automatic method introduced in this study is highly reproducible and objective. Because it requires no manual intervention, it may be useful for processing large datasets produced in clinical applications.

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Keywords: automatic method; magnetic resonance imaging; myocardial infarction

Document Type: Research Article

Affiliations: 1: Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China 2: Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China

Publication date: November 1, 2020

This article was made available online on June 5, 2020 as a Fast Track article with title: "Comparison of Segmentation Algorithms for Detecting Myocardial Infarction Using Late Gadolinium Enhancement Magnetic Resonance Imaging".

More about this publication?
  • Cardiovascular Innovations and Applications (CVIA) publishes focused articles and original clinical research that explore novel developments in cardiovascular disease, effective control and rehabilitation in cardiovascular disease, and promote cardiovascular innovations and applications for the betterment of public health globally. The journal publishes basic research that has clinical applicability in order to promote timely communication of the latest insights relating to coronary artery disease, heart failure, hypertension, cardiac arrhythmia, prevention of cardiovascular disease with a heavy emphasis on risk factor modification. Cardiovascular Innovations and Applications is the official journal of the Great Wall International Congress of Cardiology (GW-ICC). It aims to continue the work of the GW-ICC by providing a global scientific communication platform for cardiologists that bridges East and West.

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