An Enhanced Algorithm for Image Processing Based Catheter Selection During Right Coronary Angiography

Abstract

Background: Image processing based catheter selection is a newly developed procedure in which a catheter is selected based onpatient's image data, acquired prior to the intervention. In this technique, the arteries are extracted from the data followed by thecomputation of geometric parameters for all available catheters.Objectives: To propose an improved algorithm for estimating geometric parameters such as coronary artery curve angle andlength of the coronary artery curve.Material& Methods: We propose a new framework to compute the geometric parameters from the patient magnetic resonance /computed tomography images. In order to meet the clinical time constraint, we calculate CACA and CACL in 3D MR cardiacimages of the patients.Results: The method has been tested on seven MR cardiac images provided by Unieklinikum Wrzburg. The results show moreaccuracy and less computation time as compared to the already developed method.Conclusion: The proposed algorithm uses an enhanced method for extracting 3D curve to calculate the angle and there by greatlyreduces the computation time and improves the accuracy.Keywords: Optimal catheter; Right coronary angiography; Catheter selection; Landmarks; Geometricparameter