Recognition of Coronary Arterial Stenosis Using Neural Network on DSA System

This paper proposes a new recognition method of coronary arterial stenosis in DSA image, because conventional evaluation algorithms have not been satisfactory to medical doctors. To solve this problem, the neural network which takes into account the experience of the medical doctor is employed. This method consists of the extraction of characteristic parameters which are highly correlated with stenosis and the recognition of stenosis by the neural network. By means of phantom experiments and clinical evaluation, the efficiency of the proposed method has been shown.