Thrombosis risk assessment is a crucial aspect in cardiovascular research. Among thrombotic events, left ventricular thrombosis holds significant importance due to its impact on systemic circulation and has been extensively studied. In these investigations, various biochemical and hemodynamic factors have been identified as potential triggers for thrombus formation. Blood residence time is recognized as a significant hemodynamic index for assessing the likelihood of thrombus development. In present study, we also employed this index as a criterion to evaluate the probability of this complication. Initially, the left ventricle geometry and wall displacement were extracted from MRI images. Subsequently, blood flow within the ventricle was simulated using the Fluid-Structure Interaction (FSI) approach. Computational models of artificial myocardial infarction were developed by locally suppressing these displacements in specific regions. The infarction location, its surface area ratio to the ventricular surface, the degree of dilation, and material properties were selected as modeling variables. In total, 16 distinct infarction models, along with a control model (without infarction), were considered. Blood residence time was calculated using an Eulerian approach by solving the advection-diffusion equation coupled with the flow field solution. Quantitative and qualitative analyses of residence time in different infarction models were performed to investigate its correlation with left ventricular thrombosis probability. These analyses indicated that the material properties of the infarction region have a negligible impact on residence time. However, the location, percentage, and dilation of the infarction area exhibit considerable effects. The findings of this study can contribute to a better understanding of the role of myocardial infarction in altering blood hemodynamics and increasing the risk of left ventricular thrombus formation