Diagnosis of Cardiovascular Diseases (CVD) Using Medical Images

Intima media thickness is the main indicator of the heart disease, and it is one of the major criteria for early screening and diagnosis of heart diseases. In the proposed work, left and right common carotid artery (CCA) intima media thickness is measured by taking ultrasound image of heart. A multistep algorithm is presented based on Otsu’s thresholding to segment the carotid artery in the ultrasound image. The noises presented in the image are removed using filters such as Lee, Kuan, wavelet denoising, SRAD, and Kalman filters. Morphological operations enhance the carotid artery region, and it makes easy to measure the intima media thickness (IMT). Finally, the upper and lower intima media thickness range is measured accurately and the images are classified using the SVM and RBF classifiers which provide efficiency of 96 and 98%, respectively. The obtained efficiencies are more accurate compared to the existing one.