1. A method of providing a corrected reconstructed computed tomography image comprising: accessing image data for a plurality of computed tomography images of a subject; identifying a subset of the computed tomography images that comprise one or more high density features; detecting, in each of the identified subset of computed tomography images, at least one high density feature; classifying the at least one high density feature according to one or more feature characteristics; forming one or more compensation images by substituting pixels representative of tissue over the at least one classified high density feature; computing a compensation sinogram P using the one or more compensation images; generating a difference sinogram WsM for each image in the identified subset of computed tomography images by subtracting a first sinogram M of the at least one classified high density feature from a second sinogram W of the original image; generating a resultant sinogram WsMaP for each image in the identified subset of computed tomography images by adding the compensation sinogram P to the difference sinogram WsM; and forming the corrected reconstructed computed tomography image according to the resultant sinogram WsMaP generated for each image in the identified subset of computed tomography images.