期刊名称：Universal Journal of Computer Science and Engineering Technology
电子版ISSN：2219-2158
出版年度：2010
卷号：1
期号：1
出版社：Universal Journal of Computer Science and Engineering Technology
摘要：Composite Strain Encoding (C-SENC) is an Magnetic Resonance Imaging (MRI) technique for acquiring simultaneous viability and functional and images of the heart. It combines two imaging techniques, Delayed Enhancement (DE) and Strain Encoding (SENC). In this work, a novel multi-stage method is proposed to identify ventricular infarction in the functional and viability images provided by C- SENC MRI. The proposed method is based on sequential application of Otsu’s thresholding, morphological opening, square boundary tracing and the subtractive clustering algorithm. This method is tested on images of ten patients with and without myocardial infarction (MI). The resulting clustered images are compared with those marked up by expert cardiologists who assisted in validating results coming from the proposed method. Infarcted tissues are correctly identified using the proposed method with high levels of sensitivity and specificity
