Shanghai United Imaging Healthcare Co., Ltd.

Liyi Zhao

Wenjing Cao

Haohua Sun

Yifu Mao

The present disclosure discloses methods and systems for image quality optimization. The method may include obtaining an image to be processed. The method may also include determining at least one related feature of the image. The at least one related feature may include at least one of an acquisition parameter feature relating to the image, an imaging parameter feature relating to the image, an imaging subject feature of an imaging subject, or a quality feature of the image. The method may also include inputting the image and the at least one related feature into an image processing model. The method may also include determining an optimized image of the image based on an output of the image processing model.

Systems and methods for image quality optimization

The present disclosure relates to systems and methods for image reconstruction. The system may obtain an initial image to be processed. The system may generate a reconstructed image by performing a plurality of iteration steps on the initial image. Each of the plurality of iteration steps may include a first optimization operation and at least one second optimization operation. The first optimization operation and the at least one second optimization operation may be executed sequentially. The first optimization operation may include receiving an image to be processed in the iteration step and determining an updated image by preliminarily optimizing the image to be processed. The at least one second optimization operation may include determining an optimized image by reducing interference information of the updated image and designating the optimized image as a next image to be processed in a next iteration step. The interference information may include noise information and/or artifact information.

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Shanghai, China

Liyi Zhao