System and method for image correction

1. A method for image correction implemented on at least one device each of which has at least one processor and storage, the method comprising:

receiving an original image including a metal artifact;

pre-correcting the original image;

generating correction data based on the original image and the pre-corrected image;

weighting the original image and the pre-corrected image based on the correction data and a regularity degree of the metal artifact, wherein when the regularity degree is below a first threshold, the weighting is performed according to a first weighting intensity; when the regularity degree exceeds the first threshold but below a second threshold, the weighting is performed according to a second weighting intensity; and when the regularity degree exceeds the second threshold, the weighting is performed according to a third weighting intensity; and

generating a corrected image based on the weighting.

2. The method of claim 1 , the correction data comprising projection data of the original image, projection data of the pre-corrected image, or an error image of the original image.

3. The method of claim 2 , the pre-correcting the original image comprising:

determining a metal image including the metal artifact based on the original image;

generating projection data of the metal image;

performing an interpolation based on the projection data of the metal image and the projection data of the original image; and

determining the pre-corrected image based on the interpolation.

4. The method of claim 3 , wherein the determining the metal image including the metal artifact based on the original image comprises:

determining the metal image including the metal artifact based on the original image according to a threshold segmentation.

5. The method of claim 3 , wherein the performing the interpolation based on the projection data of the metal image and the projection data of the original image comprises:

determining a difference between the projection data of the original image and the projection data of the metal image; and

performing the interpolation on the difference between the projection data of the original image and the projection data of the metal image.

6. The method of claim 2 , wherein the error image is generated based on the pre-corrected image and the original image.

7. The method of claim 2 , the weighting the original image and the pre-corrected image comprising:

determining a plurality of weighting coefficients, a weighting coefficient corresponding to a pixel in the error image; and

weighting the original image and the error image based on the plurality of weighting coefficients.

8. The method of claim 1 , further comprising performing a compensation on the corrected image.

9. The method of claim 8 , the performing a compensation on the corrected image comprising:

segmenting a high frequency part of the original image;

segmenting a low frequency part of the corrected image; and

fusing the high frequency part of the original image and the low frequency of the corrected image.

10. The method of claim 1 , wherein the regularity degree of the metal artifact is associated with actual projection data of the metal artifact and ideal projection data of the metal artifact.

11. A system, comprising:

at least one storage device including a set of instructions for image correction;

at least one processor in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to cause the system to:

receive an original image including a metal artifact;

pre-correct the original image;

generate correction data based on the original image and the pre-corrected image;

weight the original image and the pre-corrected image based on the correction data based on a regularity degree of the metal artifact, wherein when the regularity degree is below a first threshold, the original image and the pre-corrected image are weighted according to a first weighting intensity; when the regularity degree exceeds the first threshold but below a second threshold, the original image and the pre-corrected image are weighted according to a second weighting intensity; and when the regularity degree exceeds the second threshold, the original image and the pre-corrected image are weighted according to a third weighting intensity; and

generate a corrected image based on the weighting.

12. The system of claim 11 , the correction data comprising projection data of the original image, projection data of the pre-corrected image, or an error image of the original image.

13. The system of claim 12 , wherein to pre-correct the original image, the at least one processor is further configured to cause the system to:

determine a metal image including the metal artifact based on the original image;

generate projection data of the metal image;

perform an interpolation based on the projection data of the metal image and the projection data of the original image; and

determine the pre-corrected image based on the interpolation.

14. The system of claim 13 , wherein to determine the metal image including the metal artifact based on the original image, the at least one processor is configured to cause the system further to:

determine the metal image including the metal artifact based on the original image according to a threshold segmentation.

15. The system of claim 13 , wherein to perform the interpolation based on the projection data of the metal image and the projection data of the original image, the at least one processor is configured to cause the system further to:

determine a difference between the projection data of the original image and the projection data of the metal image; and

perform the interpolation on the difference between the projection data of the original image and the projection data of the metal image.

16. The system of claim 12 , wherein to weight the original image and the pre-corrected image, the at least one processor is further configured to cause the system to:

determine a plurality of weighting coefficients, a weighting coefficient corresponding to a pixel in the error image; and

weight the original image and the error image based on the plurality of weighting coefficients.

17. The system of claim 12 , wherein the error image is generated based on the pre-corrected image and the original image.

18. The system of claim 11 , wherein the regularity degree of the metal artifact is associated with actual projection data of the metal artifact and ideal projection data of the metal artifact.

19. The system of claim 11 , wherein the at least one processor is configured to cause the system further to:

perform a compensation on the corrected image.

20. The system of claim 19 , wherein to perform the compensation on the corrected image, the at least one processor is configured to cause the system further to:

segment a high frequency part of the original image;

segment a low frequency part of the corrected image; and

fuse the high frequency part of the original image and the low frequency of the corrected image.