Ramadan Humada, Esmael Ali and Abu Bakar, S. A. R. (2007) Automatic coronary artery detection in echocardiogram image. In: IEEE International Confernce on Signal Processing and Communications (ICSPC2007), 2007, Dubai, UAE.
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Official URL: http://www.dx.doi.org/10.1109/ICSPC.2007.4728386
Abstract
This paper presents a technique to automatically detect the area of the wall of the coronary artery in an echocardiogram image that separates the left and right chambers of the heart. This detection is crucial for further analysis of the heart such as the detection of myocardium infarction. We propose a twostage approach that consists of the pre-processing stage and the decision stage. The pre-processing stage involves common image processing strategies while the decision stage involves the extraction and calculation of two feature ratios to finally determine the region of interest. Our proposed technique shows a performance ofat least 90% accuracy.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | coronary artery, myocardium infarction, processing strategies |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 13784 |
Deposited By: | Liza Porijo |
Deposited On: | 12 Aug 2011 01:50 |
Last Modified: | 30 Aug 2017 00:18 |
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