Arteriosclerosis a widespread disease of the arteries. It is a kind of arteriosclerosis that causes coronary artery disease (CAD) in the form stenosis that is narrow downing of arteries. The X-ray angiography images suffer from background artefacts which obscure the visualization of the image to identify the stenosis. The artefacts must be eliminated to have an improved visualization of the blood vessels. The main aim of the proposed method is to eliminate the background artefacts present in the image subjected to investigation to identify the stenotic lesion in the pathway of the blood vessels by a technique named Temporal Mask Mode Digital Subtraction Angiography (TMDSA). The subtracted image shows the elimination of background structures, making the arteries highly visible. The performance is evaluated by estimating signal to noise ratio (SNR) and contrast to noise ratio (CNR). The feasibility of subtraction of coronary angiography images improves the interpretation of stenosis.
A Umarani
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