Abstract: 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.

Abstract: The present disclosure provides methods and systems for image processing. The methods may include obtaining original projection data of a target subject. For each of at least one slice location of the target subject, the methods may include generating a plurality of candidate slice images of the slice location based on a plurality of distance-weight relationships and the original projection data. Each of the plurality of distance-weight relationships may indicate a weight of a portion of the original projection data acquired by the radiation source and a distance from the radiation source to the slice location when acquiring the portion of the original projection data. The methods may further include generating at least one target medical image of the target subject based on the plurality of candidate slice images of each of the at least one slice location.

Abstract: The present disclosure relates to systems and methods for image reconstruction. The systems and methods may obtain an initial image to be processed. The systems and methods may also generate a reconstructed image by performing a plurality of iteration steps on the initial image. At least one of the plurality of iteration steps may include a first optimization operation and a second optimization operation. 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 second optimization operation may include determining, using an optimizing model, an optimized image based on the updated image and designating the optimized image as a next image to be processed in a next iteration step or designating the optimized image as the reconstructed image.

Abstract: 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.

Abstract: 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.