Automatic Echocardiographical Feature Extraction for Left Ventricular Wall Motion and Volume Changes Visualization
STRATHCLYDE UNIV GLASGOW (UNITED KINGDOM)
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This paper describes a new fully automatic fuzzy multiresolution-based system for cardiac left ventricular LV sequence analysis. The edge detection process utilized in the system uses multiscale spatial and temporal information in a fuzzy multiresolution framework to identify a single moving edge point for each one of the epicardial and endocardial boundaries for all frames in a cardiac cycle. The raw extracted boundaries are processed in the wavelet domain and finally scale-space filtering is used to define the close LV boundaries. The system is used to automatically extract ejection fractious and volume changes for real short axis echocardiographic data. The dynamics of the LV wall are also visualized.
- Anatomy and Physiology
- Medicine and Medical Research