Automatic detection of region of interest and center point of left ventricle using watershed segmentation
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 vent...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/90936 http://hdl.handle.net/10220/5962 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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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