Coronary artery angiography is a procedure in which a catheter is used to inject a contrast dye into the coronary arteries. However, in different humans a common catheter cannot be used due to the anatomical variation of the aorta and coronary arteries. Therefore, a cardiologist has to test different catheters on a patient and selects the one that best suits the patient. The whole process is time consuming and there is minor possibility of cancer due to the extreme exploitation to rays. To overcome the mentioned problems, we propose a computer-aided catheter selection procedure. In this paper, we present novel approach for patient specific optimal catheter selection for the angiography of the coronary arteries with high take off (anomalous RCA). It involves segmentation of the aorta and coronary arteries, nding the centerline and computing some important geometric parameters. These parameters include computing coronary arteries curve angle (CACA), distance of the Ostium from the aortic valves (DOAV) and the aorta diameter (AD) near the Ostium. Afterwards tip angle of the catheter (CTA), catheter curve two depth (CC2D) and catheter curve two width (CC2W) are computed. Finally, we compare CACA with CTA, DOAV with CC2D, AD with CC2W and suggest a catheter that is the closest to the patients arteries geometry. This solution avoids testing of many catheters during catheterization.