1. A system for image processing, the system comprising: a data storage device storing instructions for image processing; and a processor configured to execute the instructions to perform a method comprising: receiving time-varying images of a blood vessel with known plaque information at one or more points of the blood vessel; receiving physiological and hemodynamic information at one or more points of the blood vessel for each of the received time-varying images with known plaque information; determining changes in anatomical data over time at one or more points of the blood vessel for the received time-varying images; creating feature vectors comprising: (1) features of the received physiological and hemodynamic information and (2) features of the determined changes in anatomical data, which are predictive of the plaque information of the blood vessel, at one or more points of the blood vessel for each of the received time-varying images with known plaque information; associating the feature vectors with the plaque information at one or more points of the blood vessel for each of the received time-varying images; training a machine learning algorithm for predicting plaque information from a patient at one or more points of a blood vessel, using the associated feature vectors; receiving time-varying images of a blood vessel of a patient with unknown plaque information related to vascular hemodynamics of the blood vessel; receiving physiological and hemodynamic information of the blood vessel of the patient for each of the received time-varying images with unknown plaque information; determining changes in anatomical data over time for the received time-varying images of the blood vessel of the patient with unknown plaque information; creating feature vectors comprising: (1) features of the received physiological and hemodynamic information and (2) features of the determined changes in anatomical data, which are predictive of the plaque information of the blood vessel, at one or more points of the blood vessel for each of the received time-varying images with unknown plaque information of the patient; determining plaque information of the blood vessel of the patient, by inputting the created feature vectors for each of the received time-varying images with unknown plaque information of the patient into the trained machine learning algorithm; and generating, using a computer processor, a patient-specific prediction or a patient-specific probability of a development of artery disease for the patient, using the determined plaque information.