In this paper the authors present a 2D numerical simulation for the blood flow in three different regions of the aorta. The simulation is during four cardiac cycles, taking ten time samples per cycle. The employed method uses five stages. In the first stage, CT scan images are obtained for a male, 72 years old patient. During the second stage, image signal processing techniques, like filtering, enhancement and segmentation, are used to extract the Region of Interest (ROI) from each CT image. A 3D model of the aorta is built during the third stage, and then used to get a 2D model for simulation and analysis. In the fourth stage mesh parameters, as well as initial and boundary conditions for the simulation, are setup using Comsol Multiphysics, and then the simulation is ran, obtaining blood-flow's velocity and pressure distributions. The last stage uses a two-factor fixed effects model to record the data of interest and generate evaluation plots and metrics using the R programming language. The results show a performance similar to the ones previously reported in the literature, but with differences due to the geometry and clinical conditions of the patient under study.