DCE-MRI is a diagnostic method that can visualize neoangiogenic-induced vascular changes. Typically, the analysis of these data is time-consuming and the visualization of the quantitative information on tumor vasculature, derivable from DCE-MRI, is not easy and comfortable. In this study, we propose a method to accelerate computation and analysis of DCE-MRI data, while making easy to use the functional information obtained from model-based functional analysis.