Publication | Open Access
Automatic Detection of Region of Interest and Center Point of Left Ventricle using Watershed Segmentation
26
Citations
7
References
2005
Year
Unknown Venue
EngineeringCenter PointWatershed SegmentationDiagnostic ImagingImage AnalysisEdge DetectionApproximate LocationCardiologyRadiologyHealth SciencesCardiovascular ImagingMedical ImagingMedical Image ComputingNew AlgorithmComputer VisionComputer-aided DiagnosisMedical Image AnalysisImage SegmentationAutomatic Detection
In the detection of the boundary of the left ventricle from echocardiographic images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle. In this paper, a new algorithm is proposed for automatic detection of the ROI and CP of the left ventricle from echocardiographic images. The method makes use of morphological operations and watershed segmentation. No prior assumption of the approximate location is required and no human intervention is necessary for the proposed approach hence making it most suitable for automatic operation.
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