Published Paper Details:

Abstract --- Analysis and detection of coronary artery plaque using ivus soft computing technique is very important for non- invasive imaging modalities. It can detect the risk for heart attack at very early stage and give the better results, the myocardial infarction interpretations and analysis at early stage is important to detect the possible risk of heart attack. Descriptions of region of interest (ROI) is of great importance for Cardiologist because their expectation in an image is to have better resolution that can highlight the ROI to greater extent and can also differentiate the two layers of coronary artery wall i.e. inner wall of coronary artery called the background, which is a region of vessel inner wall and outer wall is called foreground which is the region of interest i.e. plaque deposits. In this proposed paper, the CT angiogram scan has been taken and is converted to DICOM images frame by frame and then the imaging technique of image pre-processing has been applied to the CT scan DICOM images like image conversion , intensity adjustment, removal of noise and smoothening of acquired images using Mat lab techniques followed by computation of overlapping binary layer using label matrix, computation of distance transform using process of segmentation and then retrieval of features i.e. feature extraction. Usually in digital imaging and communication in medical it consists of major four steps that will be applied on acquired ivus image as pre-processing then scanned ivus medical image be segmented, extraction of features from the image and finally the ivus image classification are the digital imaging steps that will give the desired or expected output with accuracy.