Authors : A. Umarani and A. Asha
Abstract: Arteriosclerosis is a Coronary Artery Disease (CAD) that is caused due to the deposition of plaque in the walls of arteries by which the arteries narrows down (stenosis) and the blood flow gets restricted. Computed Topographic Angiography (CTA) has been used in clinical diagnosis and it is very difficult to visualize the blood vessels and the stenosis due to the presence of bones and tissues. Moreover, the measurement of stenosis is important for stent employment which improves the blood flow. In clinical practice, with modern imaging techniques, visualization of stenosis and stents remains challenging and researchers go to image processing techniques. This parchment focuses on three main strategies to improve the image quality. First, blood vessel visualization is done by employing a technique named Temporal Mask Time Mode Digital Subtraction Angiography (TMDSA). This can effectively reduce the motion artefacts in angiographic images. Second, the TMDSA image is further enhanced by image processing techniques such as histogram equalization, thresholding, morphological and advanced morphological operations for better visualization. Third, shape detection and measuring operations have been developed for detection of stenosis and measurement of stenosis. The proposed method have been evaluated on various CT angiography images qualitatively and quantitatively.
A. Umarani and A. Asha, 2014. Removal of Artefacts and Measurement of Stenosis for Coronary Angiographic Images. International Journal of Soft Computing, 9: 58-66.