Empirical Mode Decomposition and Monogenic Signal-Based Approach for Quantification of Myocardial Infarction From MR Images

Thi Thao Tran, Van Truong Pham, Chen Lin, Hui Wen Yang, Yung Hung Wang, Kuo Kai Shyu, Wen Yih Issac Tseng, Mao Yuan Marine Su, Lian Yu Lin, Men Tzung Lo

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Quantification of myocardial infarction on late Gadolinium enhancement cardiovascular magnetic resonance (LGE-CMR) images into heterogeneous infarct periphery (or gray zone) and infarct core plays an important role in cardiac diagnosis, especially in identifying patients at high risk of cardiovascular mortality. However, quantification task is challenging due to noise corrupted in cardiac MR images, the contrast variation, and limited resolution of images. In this study, we propose a novel approach for automatic myocardial infarction quantification, termed DEMPOT, which consists of three key parts: Decomposition of image into intrinsic modes, monogenic phase performing on combined dominant modes, and multilevel Otsu thresholding on the phase. In particular, inspired by the Hilbert-Huang transform, we perform the multidimensional ensemble empirical mode decomposition and 2-D generalization of the Hilbert transform known as the Riesz transform on the MR image to obtain the monogenic phase that is robust to noise and contrast variation. Then, a two-stage algorithm using multilevel Otsu thresholding is accomplished on the monogenic phase to automatically quantify the myocardium into healthy, gray zone, and infarct core regions. Experiments on LGE-CMR images with myocardial infarction from 82 patients show the superior performance of the proposed approach in terms of reproducibility, robustness, and effectiveness.

Original languageEnglish
Article number8329150
Pages (from-to)731-743
Number of pages13
JournalIEEE Journal of Biomedical and Health Informatics
Issue number2
StatePublished - Mar 2019


  • Ensemble empirical mode decomposition
  • gray zone
  • infarct core
  • monogenic signal
  • myocardial infarction


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