Automated endocardial boundary detection using dynamic directional gradient vector flow snakes
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 imag...
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| Format: | Conference Paper |
| Language: | English |
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2011
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| Online Access: | https://hdl.handle.net/10356/91591 http://hdl.handle.net/10220/6534 |
| _version_ | 1811680432351084544 |
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| author | Foo, Say Wei Kirthika Mahendran |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Foo, Say Wei Kirthika Mahendran |
| author_sort | Foo, Say Wei |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:24:57Z |
| format | Conference Paper |
| id | ntu-10356/91591 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:24:57Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/915912020-03-07T13:24:46Z Automated endocardial boundary detection using dynamic directional gradient vector flow snakes Foo, Say Wei Kirthika Mahendran School of Electrical and Electronic Engineering IEEE International Conference for Biomedical and Pharmaceutical Engineering (2006 : Singapore) DRNTU::Engineering::Electrical and electronic engineering 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. Published version 2011-01-12T07:06:28Z 2019-12-06T18:08:30Z 2011-01-12T07:06:28Z 2019-12-06T18:08:30Z 2006 2006 Conference Paper Foo, S. W., & Kirthika, M. (2006). Automated Endocardial Boundary Detection using Dynamic Directional Gradient Vector Flow Snakes. IEEE International Conference for Biomedical and Pharmaceutical Engineering, pp.62-66. https://hdl.handle.net/10356/91591 http://hdl.handle.net/10220/6534 10.1109/ICBPE.2006.348555 en © 2006 by Research Publishing Services. Self-archiving policy of IEEE is followed. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4155864] 5 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Foo, Say Wei Kirthika Mahendran Automated endocardial boundary detection using dynamic directional gradient vector flow snakes |
| title | Automated endocardial boundary detection using dynamic directional gradient vector flow snakes |
| title_full | Automated endocardial boundary detection using dynamic directional gradient vector flow snakes |
| title_fullStr | Automated endocardial boundary detection using dynamic directional gradient vector flow snakes |
| title_full_unstemmed | Automated endocardial boundary detection using dynamic directional gradient vector flow snakes |
| title_short | Automated endocardial boundary detection using dynamic directional gradient vector flow snakes |
| title_sort | automated endocardial boundary detection using dynamic directional gradient vector flow snakes |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/91591 http://hdl.handle.net/10220/6534 |
| work_keys_str_mv | AT foosaywei automatedendocardialboundarydetectionusingdynamicdirectionalgradientvectorflowsnakes AT kirthikamahendran automatedendocardialboundarydetectionusingdynamicdirectionalgradientvectorflowsnakes |