A Novel Approach for Removing Metal Artifacts from Dental Images

The artifacts that appear on maxillofacial X-ray computed tomography (CT) images are mainly caused by the presence of metallic prosthetic appliances such as amalgam or gold fillings. Artifact is one of the most important factors in degrading the CT image quality and plays an important role in diagnostic accuracy. The standard method used to reduce these metallic artifacts often consists of interpolating the missing projection data but the result is often a loss of image quality with additional artifacts in the whole image. Various methods based on the filtered back projection method, segmentation algorithm, and Restoration technique. The final corrected image is then obtained by merging the segmented metallic object image with the filtered back-projection reconstructed image from the image. Proposed approach is based on CENTRIST method. Centrist is a form of non-parametric local transform used in image processing to map the intensity values of the pixels within a square window to a bit string. The centre pixel’s intensity value is replaced by the bit string composed of set of Boolean comparisons such that in a square window, moving left to right, If (CurrentPixelIntensity