AN ENHANCED ALGORITHM FOR OPTIMAL CATHETERSELECTION DURING CORONARY ANGIOGRAPHY

Abstract

Image processing based catheter selection is an advanced technique in which three dimensional (3D) curve of the coronary arteries and aorta were projected on a two dimensional (2D) plane and the parameters were estimeted. During the projection of 3D curve to 2D plane there was information loss which affected the final results. In present study, an algorithm for selecting an optimal plane which reduced the information loss during the projection phase was suggested. The proposed method was evaluated on the ground truth and the obtained intraclass correlation coefficients and their 95% confidence intervals had the confidence limit between 0.996 –1.00. The results showed that the proposed method minimized information loss during projection. It minimized mean error in angle calculation to 2% as compared to the existing algorithm that had 6% error rate. The proposed method was time efficient and it estimated the parameters from the patient image data on optimal plane