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Automated Endocardial Boundary Detection using Dynamic Directional Gradient Vector Flow Snakes
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kirthika |
| Copyright Year | 2006 |
| Abstract | The endocardial boundary detection of the left ventricle (LV) of the heart is a valuable diagnostic step to determine the abnormalities of the heart. In this paper, an automated method to obtain the endocardial boundary is proposed. The watershed transformation is performed on the morphological image to localize the region contained the LV (ROI). The DDGVF field is then utilized dynamically to deform the snake into the endocardial boundary of the LV. |
| Starting Page | 62 |
| Ending Page | 66 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.1109/ICBPE.2006.348555 |
| Alternate Webpage(s) | https://dr.ntu.edu.sg/bitstream/handle/10220/6534/C97-04155864-Kirthika-Check.pdf;jsessionid=5D1E1D3B6150C08D5AFA9C7626263855?sequence=1 |
| Alternate Webpage(s) | https://dr.ntu.edu.sg/bitstream/handle/10220/6534/C97-04155864-Kirthika-Check.pdf?isAllowed=y&sequence=1 |
| Alternate Webpage(s) | https://doi.org/10.1109/ICBPE.2006.348555 |
| Journal | 2006 International Conference on Biomedical and Pharmaceutical Engineering |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |