Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-03-28
International Journal of Computer Science & Information Technology (IJCSIT), Vol. 2, No. 1, 2009, PP: 35-40
Computer Science
Computer Vision and Pattern Recognition
06 Pages, 18 figures
Scientific paper
At present, coronary angiography is the well known standard for the diagnosis of coronary artery disease. Conventional coronary angiography is an invasive procedure with a small, yet inherent risk of myocardial infarction, stroke, potential arrhythmias, and death. Other noninvasive diagnostic tools, such as electrocardiography, echocardiography, and nuclear imaging are now widely available but are limited by their inability to directly visualize and quantify coronary artery stenoses and predict the stability of plaques. Coronary magnetic resonance angiography (MRA) is a technique that allows visualization of the coronary arteries by noninvasive means; however, it has not yet reached a stage where it can be used in routine clinical practice. Although coronary MRA is a potentially useful diagnostic tool, it has limitations. Further research should focus on improving the diagnostic resolution and accuracy of coronary MRA. This paper will helps to cardiologists to take the clear look of spatial filtered imaging of coronary arteries.
Hiremath P. S.
Kodge B. G.
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