Systems and methods for image processing

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

• obtaining initial k-space data generated by a magnetic resonance imaging device;
• generating first processed k-space data by padding k space of the initial k-space data with predetermined data;
• generating second processed k-space data based on the initial k-space data, an image associated with the second processed k-space data having a higher resolution than an initial image associated with the initial k-space data;
• determining, based on the initial image, a first weight matrix corresponding to the first processed k-space data and a second weight matrix corresponding to the second processed k-space data;
• generating target k-space data based on the first processed k-space data, the second processed k-space data, the first weight matrix, and the second weight matrix;
• and
• reconstructing a target image based on the target k-space data.

A system, comprising:

• a storage device storing a set of instructions;
• at least one processor in communication with the storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including:
• obtaining an image;
• determining a current resolution level of the image;
• determining, based on the current resolution level of the image, from a group of resolution level ranges, a reference resolution level range corresponding to the image;
• determining a target processing model corresponding to the reference resolution level range;
• and
• determining a processed image with a target resolution level by processing the image using the target processing model, the target resolution level of the processed image being higher than the current resolution level of the image.