System and method for removing gibbs artifact in medical imaging system

A method implemented on a computing device including a storage device and at least one processor for image processing, the method comprising:

• obtaining a first set of image data;
• generating a second set of image data by processing, based on a trained machine learning model, the first set of image data, wherein the second set of image data have a relatively high resolution and/or a relatively low level of artifacts with respect to the first set of image data;
• and
• generating a target image by performing a synthesis of the first set of image data and the second set of image data.

A method implemented on a computing device including a storage device and at least one processor for image processing, the method comprising:

• setting k-space including a first part and a second part;
• obtaining a set of image data;
• and
• generating a target image by processing the set of image data based on a trained machine learning model;
• wherein the trained machine learning model is configured to process the set of image data to a less extent in the first part than the second part so that a changing extent of the set of image data in the first part is less than a changing extent of the set of image data in the second part by the processing of the set of image data.

A system for image processing, comprising:

• at least one storage device including a set of instructions or programs;
• and
• at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions or programs, the at least one processor is configured to cause the system to:
• obtain a first set of image data;
• generate a second set of image data by processing, based on a trained machine learning model, the first set of image data, wherein the second set of image data have a relatively high resolution and/or a relatively low level of artifacts with respect to the first set of image data;
• and
• generate a target image by performing a synthesis of the first set of image data and the second set of image data.