1. A computer-implemented method of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising: acquiring an anatomical model of at least part of a patient's vascular system; identifying the presence of disease at one or more locations of the anatomical model; defining one or more design variables of a personalized cardiovascular device to treat the disease; defining one or more performance metrics of the personalized cardiovascular device, the one or more performance metrics being chosen from one or more of: flow mechanic characteristics, solid mechanics characteristics, cost characteristics, and clinical event characteristics, wherein values of the one or more performance metrics are a function of values of the one or more design variables; performing, using a computer processor, one or more of geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical model; iteratively updating the values of the one or more design variables to calculate updated values of the one or more performance metrics by using one or more iterative updates of the anatomical model, each iterative update of the anatomical model taking into account deployment of an iteration of the personalized cardiovascular device; and identifying, using a computer processor, an iteration of the personalized cardiovascular device for the patient, based on a set of values of the one or more design variables that would optimize the one or more performance metrics in the anatomical model.