Systems and methods for image data acquisition

A system, comprising:

• at least one storage device storing executable instructions, and
• at least one processor in communication with the at least one storage device, when executing the executable instructions, causing the system to perform operations including:
• obtaining a plurality of training samples, each of the plurality of training samples including physiological data of a subject;
• and
• generating a trained machine learning model by training, based on the plurality of training samples, a machine learning model, wherein
• the trained machine learning model is configured to perform:
• determining, based on specific physiological data, a gating weighting function defined by a plurality of weighting values corresponding to the specific physiological data.

A method, comprising:

• acquiring physiological data of a subject, the physiological data corresponding to a motion of the subject over time;
• obtaining a trained machine learning model;
• determining, based on the physiological data, an output result of the trained machine learning model, the output result including a gating weighting function defined by a plurality of weighting values corresponding to the physiological data;
• obtaining original image data of the subject acquired by an imaging device synchronously with the acquisition of the physiological data by a monitoring device;
• and
• extracting image data from the original image data by multiplying the gating weighting function with the original image data.