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New Global and Regional Featuresfor Coronary Artery Disease Detection on 2D Echocardiography

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dc.contributor.author HarmokoSaputro, Adhi
dc.contributor.author Mustafa, Mohd. Marzuki
dc.contributor.author Hussain, Aini
dc.date.accessioned 2019-07-02T03:14:06Z
dc.date.available 2019-07-02T03:14:06Z
dc.date.issued 2014-02-17
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/54
dc.description The authors would like to acknowledge UniversitiKebangsaan Malaysia (Project code UKMGUP- TKP-08-24-080and UKM-OUP-ICT-36- 184/2011) for the financial support awarded for this research. en_US
dc.description.abstract A computer-based of cardiac diagnosis system is needed to assist a cardiologist to evaluate the coronary artery disease quantitatively. In this paper, a computer-based global and regional diagnosis is developed to identify cardiac abnormality on 2D echocardiography. The system consists endocardium tracking, boundary modeling and segmentation, and disease detection globally and regionally.A global index was proposed to predict the left ventricular function by analyzing the shape deformation. Parameters of boundary motion such as displacement, velocity, and strain rate were applied to produce local features of each segment. Fifty-four set data was used to assess the performance of the developed system. Manual interpretation from three experts was used to validate the proposed technique. The results are very promising in recognizing the LV function globally and indicating the abnormality of each segment quantitatively. en_US
dc.language.iso en en_US
dc.publisher Twelfth International Conference On Computer Applications (ICCA 2014) en_US
dc.title New Global and Regional Featuresfor Coronary Artery Disease Detection on 2D Echocardiography en_US
dc.type Article en_US

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