Prediction of IMT in Medical Imaging

The objective of this work is to develop and implement an investigation carried out on carotid artery. The proposed method categorizes the carotid artery subjects into normal and diseased subjects. Ultrasound image videos of the artery are used as the data. The frames of the video are processed to know the properties of the artery. In order to extract properties, image processing techniques have been used on each frame. The features extracted from the frames are consolidating to know the conditions of the artery. These features are accurately analysed to know the status of the artery by using intelligent techniques like artificial neural network and fuzzy logic. In artificial neural network using back propagation algorithm and by fuzzy logic system provides higher classification efficiency with minimum training and testing time. It helps in developing medical decision system for ultrasound artery images. It can also be used as secondary observer in clinical decision making.