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Abstract

Ecocardiographic image segmentation has gained importance with the development of various image processing techniques. This is vital step as it gives methodology to evaluate many cardiac parameters such as LV volume, thickness of heart wall, ejection fraction, motion of valves etc. These parameters are essential to diagnose the health of a heart. Manual segmentation techniques are time consuming and require trained operators to perform the task. This process can be simplified with precision by various semi-automatic and automatic image segmentation techniques. This paper reviews different echocardiography image segmentation methods for left ventricle border detection. The methodology proposed by authors is presented with validation criteria used for their performance. Segmentation methods are classified in the broad groups as per the approach used. Finally the summary of the various methods is presented along with their methodology and performance measures.