Systems and methods for modelling physiologic function using a combination of models of varying detail

A system for generating a reduced-order model of a cardiovascular system, comprising:

• at least one memory storing instructions;
• and
• at least one processor operatively connected to the at least one memory and configured to execute the instruction to perform operations, including:
• determining at least one model objective based on at least one biological or physiological measurement of at least one parameter of an anatomical structure of a patient;
• receiving patient-specific image data associated with at least a portion of the anatomical structure of the patient;
• generating, based on the patient-specific image data, a three-dimensional model representing at least a portion of the anatomical structure of the patient, the three-dimensional model including portions representing at least one inlet and at least one outlet of blood flow;
• generating a reduced order model that is computationally faster than the three-dimensional model, that represents at least part of the portion of the anatomical structure of the patient represented by the three-dimensional model, and that includes:
• one or more boundary condition parameters for one or more of the at least one inlet or the at least one outlet;
• and
• one or more lumped parameters associated with at least one property of the anatomical structure;
• and
• determining values of the one or more boundary condition parameters by iteratively:
• optimizing the values of the one or more boundary condition parameters to satisfy the at least one model objective, using the reduced order model, for a current iteration of the one or more lumped parameters, by iteratively:
• executing a simulation on the reduced order model using a current iteration of values for the one or more boundary condition parameters and the current iteration of values for the one or more Jumped parameters to determine a value of at least one output parameter corresponding to the at least one model objective;
• evaluating a difference between the at least one output parameter of the reduced order model and the at least one model objective;
• and
• until the difference is below a predetermined threshold, modifying the current iteration of the values for the one or more boundary condition parameters and performing a further iteration of the optimizing;
• determining whether the optimized values of the one or more boundary condition parameters satisfy the at least one model objective using the three-dimensional model;
• and
• until the at least one model objective is satisfied using the three-dimensional model, modifying the current iteration of the one or more lumped parameters and performing a further iteration of the determining values.

A non-transitory computer-readable medium storing instruction for generating a reduced-order model of a cardiovascular system, the instructions executable by at least one processor to perform operations, including:

• determining at least one model objective based on at least one biological or physiological measurement of at least one parameter of an anatomical structure of a patient;
• receiving patient-specific image data associated with at least a portion of the anatomical structure of the patient;
• generating, based on the patient-specific image data, a three-dimensional model representing at least a portion of the anatomical structure of the patient, the three-dimensional model including a three-dimensional mesh having portions representing at least one inlet and at least one outlet of blood flow;
• generating a reduced order model that is computationally faster than the three-dimensional model, that represents at least part of the portion of the anatomical structure of the patient represented by the three-dimensional model, that one or more of has less than three dimensions or is based on a mesh that is less refined than the three-dimensional mesh, and that includes:
• one or more boundary condition parameters for one or more of the at least one inlet or the at least one outlet;
• and
• one or more lumped parameters that approximate at least one intrinsic impedance of the anatomical structure;
• and
• determining values of the one or more boundary condition parameters by iteratively:
• optimizing the values of the one or more boundary condition parameters to satisfy the at least one model objective, using the reduced order model, for a current iteration of the one or more lumped parameters;
• determining whether the optimized values of the one or more boundary condition parameters satisfy the at least one model objective using the three-dimensional model;
• and
• until the at least one model objective is satisfied using the three-dimensional model, modifying the current iteration of the one or more lumped parameters and performing a further iteration of the determining values to increase an accuracy of the approximation of the intrinsic impedance.