Name
Title | ||
|---|---|---|
Improving Visual Detection of Wall Motion Abnormality with Echocardiographic Image Enhancing Methods. |
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%. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/EMBC.2018.8512537 | EMBC |
Field | DocType | Volume |
Computer vision,Video processing,Computer science,Visualization,Visual assessment,Abnormality,Feature extraction,Eulerian path,Artificial intelligence,Magnification,Asymmetry | Conference | 2018 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hasmila A. Omar | 1 | 2 | 0.74 |
| João S. Domingos | 2 | 11 | 2.73 |
| Arijit Patra | 3 | 2 | 1.75 |
| Paul Leeson | 4 | 9 | 3.05 |
| J. Alison Noble | 5 | 2001 | 203.21 |