In recent years

CT imaging technique has been widely used in clinical medicine domain.However for the patient with metallic implants

there is most likely bright and dark artifacts around metal objects due to beam hardening and other reasons

which will reduce the quality of the image and affect the accuracy of physician diagnosis.In order to reduce the metal artifacts in CT images

we address a method based on Mean Shift algorithm and interpolation image restoration algorithm in this paper

and the basic flow is as follows.Firstly

adaptive Mean Shift algorithm was used to smooth noise and the mild artifacts for preprocessing.Secondly

using Mean Shift simplified algorithm metal objects were segmented quickly and accurately.Thirdly

the prior image was generated by interpolated image with anatomical structures restoration

then the original projection data was replaced with the prior projection data to obtain the final corrected image.After the contrast experiment

the method in this paper not only removes metal artifacts remarkably but also protects the original anatomical structures

showing that our method achieves better appearance.