Improving Visual Detection of Wall Motion Abnormality with Echocardiographic Image Enhancing Methods

Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul:2018:1128-1131. doi: 10.1109/EMBC.2018.8512537.

Abstract

Analysis of wall motion abnormality using echocardiography is an established method for detecting myocardial ischemia. We describe a hybrid approach of enhancing 2D+T echo datasets with border detection and Eulerian motion magnification to improve the visual assessment of wall motion. We implemented a local phase-based approach using the monogenic signal and its derived features, either feature asymmetry (FA) or oriented feature symmetry (OFS), to detect boundaries of the heart structure. We enhanced the 2D+T datasets using either an intensity-based or phase-based Eulerian Motion Magnification (EMM) video processing technique, and identified among eight different types of enhancements the best performing method as OFS with an accuracy of 78% versus the original B-Mode with an accuracy of 71%.

MeSH terms

  • Coronary Artery Disease*
  • Echocardiography*
  • Heart
  • Humans
  • Myocardial Ischemia*