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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nitisantawakup, R. Jiraraksopakun, Y. Kumwilaisak, W. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electronic and Telecommunication Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha-utit Rd., Bangmod, Tung-kru, Bangkok 10140, Thailand (Nitisantawakup, R.; Jiraraksopakun, Y.; Kumwilaisak, W.) |
| Abstract | This paper proposes a fast and automatic algorithm to detect epi-and endo-cardium contours on short-axis cardiac magnetic resonance (CMR) images based on combined methods motivated from a double thresholding method [1]. Briefly, it rapidly detects endo-cardium contour and left ventricular (LV) chamber region. Using the endo-cardium contour as initial seeds, the algorithm applies region growing of the LV in polar coordinates to achieve a reasonable epi-cardium contour. Preliminary results with the online cardiac MR database show that the proposed method can provide a mean absolute error of 54.325 ± 5.24 $mm^{2}$ for myocardium area computed from endo- and epi-cardium contour detection, accounting for 92% accuracy compared to the ground truth. The total time of detection is approximately 0.86 and 3.26 seconds per image frame for endo- and epi-cardium contours, respectively. These promising results reflect a potential use of the proposed algorithm for clinical applications in the future. |
| Starting Page | 1035 |
| Ending Page | 1038 |
| File Size | 1503977 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457704253 |
| e-ISBN | 9781457704246 |
| DOI | 10.1109/ECTICON.2011.5948020 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-17 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | image processing fast Endo-cardium epi-cardium MRI Myocardium automatic contour detection Pixel Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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