In this paper, a new method for metal artefact reduction in computed tomography is investigated, based on sinusoidal amendment. Each voxel in the scanned object corresponds to a sinusoidal curve in the projection data set. Some of the sinusoidal curves result from metal implant, which can be identified because the attenuation coefficient of the metal is much higher than that of human tissue, and therefore can be isolated from the projection, as well as reconstructed directly to provide the location of the metal implant. Then a highly accurate reconstruction image can be obtained using filtered back-projection because the original projection has been amended rather than interpolated. A real example is shown to demonstrate the method.
Julian J. Liu, Stephen R. Watt-Smith, Stephen M. S