Patent ID: 11935211
Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. 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, wherein the generating the second processed k-space data based on the initial k-space data includes:
reconstructing the initial image based on the initial k-space data;
determining a current solution level of the initial image;
determining, based on the current solution level of the initial image, from a group of resolution level ranges, a reference resolution level range corresponding to the initial image;
determining a target processing model corresponding to the reference resolution level range, wherein the target processing model is generated by:
obtaining a plurality of sample images with relatively low resolution levels and a plurality of sample images with relatively high resolution levels;
grouping the plurality of sample images with relatively low resolution levels and grouping the plurality of sample images with relatively high resolution levels, each group of sample images with relatively low resolution levels corresponding to a group of sample images with relatively high resolution levels, and the each group of sample images with relatively low resolution levels corresponding to a resolution level range of the group of resolution level ranges;
obtaining a plurality of processing models by training each processing model using a corresponding group of sample images with relatively low resolution levels and a corresponding group of sample images with relatively high resolution levels; and

selecting, from the plurality of processing models, the target processing model corresponding to the reference resolution level range, wherein
resolution levels of the sample images with relatively low resolution levels are lower than a resolution level threshold, and resolution levels of the sample images with relatively high resolution levels are higher than or equal to a resolution level threshold;

determining a processed image by processing the initial image using the target processing model;
obtaining the second processed k-space data corresponding to the processed image;

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.