Methods and systems for determining hemodynamic parameters

A system for determining hemodynamic parameters, comprising:

• at least one storage medium including a set of instructions;
• at least one processor in communication with the at least one storage medium, wherein when executing the set of instructions, the at least one processor is directed to cause the system to perform operations including:
• obtaining first image data of a subject being acquired in a rest state;
• obtaining second image data of the subject acquired in a hyperemic state;
• determining, based on the first image data, a structure model representing the subject;
• determining, based on the second image data, one or more boundary conditions of the subject;
• and
• determining, based on the one or more boundary conditions and the structure model, at least one target hemodynamic parameter of the subject.

A method for determining hemodynamic parameters, comprising:

• obtaining image data of a subject being acquired in a rest state;
• obtaining a trained machine learning model;
• and
• determining, based on the trained machine learning model, at least one target hemodynamic parameter of the subject, wherein the trained machine learning model is obtained based on multiple sets of sample image data, each set of the multiple sets of sample image data includes a first image data and at least one of a second image data or a third image data, the first image data is acquired in a rest state of a first sample subject, the second image data is acquired in a hyperemic state of the first sample subject, and the third image data is acquired in a hyperemic state of a second sample subject associated with the first sample subject.