Cardiovascular diseases (CVDs) are the leading cause of worldwide mortality. It is assumed that cardiovascular hemodynamic parameters are able to provide valuable information in order to evaluate CVDs. Consequently, many experimental and numerical tools such as different medical imaging techniques and Computational Fluid Dynamics (CFD) have been introduced to obtain cardiovascular hemodynamic parameters. In this research, we numerically simulated a human patientspecific Left Ventricle (LV) by utilizing the imaged-based CFD technique. The primary aim of this research, however, is to investigate the influence of various non-Newtonian blood models on intraventricular hemodynamics throughout the complete cardiac cycle. In doing so, initially the cardiac images of a healthy volunteer were acquired by using a Magnetic Resonance Image (MRI) scanner. Subsequently, a 4D LV anatomical geometry was reconstructed by using the image processing technique. Finally, the commercial ANSYS FLUENT software packages was used to numerically simulate intraventricular hemodynamics. It is found that the Newtonian simplification of blood is not an adequate assumption in the numerical simulation of a patient-specific LV.