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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Goksel, D. Ozkan, M. Ozturk, C. |
| Copyright Year | 2002 |
| Description | Author affiliation: Inst. of Biomed. Eng., Bogazici Univ., Istanbul, Turkey (Goksel, D.; Ozkan, M.; Ozturk, C.) |
| Abstract | Our proposed technique tries to perform rapid classification to diagnose the abnormalities in human myocardium and identify the left ventricle (LV) in the analyzed tagged MR images as pathological or normal. In this work, images are first analyzed using harmonic phase (HARP) analysis and synthetic tags are computed over the myocardium. The data is normalized for shift, scale and rotation invariance, and to perform a comparison between different myocardium having various tag lines and time frames. Cubic curves are fitted to the normalized tags and curvature parameters are compared at various regions of the myocardium. In this initial study, the curve parameters are examined with probability density function for multivariate normal distribution between normal and diseased hearts, such as left ventricles with dilated cardiomyopathy (DCM) and infarcted regions. Finally, the confusion matrix is evaluated to examine the correctness of the segmentation algorithm. |
| Sponsorship | IEEE Signal Processing Soc |
| Starting Page | 935 |
| Ending Page | 938 |
| File Size | 334306 |
| Page Count | 4 |
| File Format | |
| ISBN | 078037584X |
| DOI | 10.1109/ISBI.2002.1029415 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion analysis Magnetic resonance imaging Myocardium Image analysis Harmonic analysis Humans Performance analysis Pathology Probability density function Gaussian distribution |
| Content Type | Text |
| Resource Type | Article |
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