• D SAMEELA
• KOMPELLA VENKATARAMANA

: Intravascular ultrasound imaging of coronary arteries provides important information about coronary lumen, wall, and plaque characteristics. Quantitative studies of coronary atherosclerosis using intravascular ultrasound and manual identification of wall and plaque borders are limited by the need for observers with substantial experience and the tedious nature of manual border detection. The features like thin-gap-fibro atheroma, plaque burden and minimal luminal area are exhibiting high risk events in coronary arteries. These features prone to major cardiac events which are detected from intravascular ultrasound images. Identification of arterial locations likely to later develop such high-risk plaques may help to prevent MACE .In this paper I proposed feature extraction to extract such high risk features, automated segmentation to detect risk plaques and classification to classify the plaque and lumen area

"DETECTION OF HIGH RISK PLAQUES IN CORONARY ARTERIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.731-736, June 2019, Available :http://www.jetir.org/papers/JETIR1907L11.pdf

"DETECTION OF HIGH RISK PLAQUES IN CORONARY ARTERIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp731-736, June 2019, Available at : http://www.jetir.org/papers/JETIR1907L11.pdf