A method for reconstructing an x-ray image of an object under examination from measured projection data indicative of the object, comprising: converting the measured projection data into image data; regularizing the image data to generate regularized image data, comprising modifying one or more specified quality metrics in the image data; forward projecting the regularized image data to generate synthesized projection data; and updating the image data to generate updated image data comprising comparing the synthesized projection data to the measured projection data, the method further comprises: detecting and isolating a region of the regularized image data that represents an aspect of the object that generates an inconsistency in the measured projection data, the detecting and isolating comprising thresholding the regularized image data and segmenting at least one of voxels or pixels comprised in the image data with values greater than a specified threshold such that at least one of a first voxel or a first pixel with a value less than or equal to the specified threshold is masked; forward projecting the region to generate inconsistent projection data; and correcting the measured projection data based at least in part upon the inconsistent projection data to generate corrected projection data, wherein the updating comprises comparing the corrected projection data to the synthesized projection data. converting the measured projection data into image data; regularizing the image data to generate regularized image data, comprising modifying one or more specified quality metrics in the image data; forward projecting the regularized image data to generate synthesized projection data; and updating the image data to generate updated image data comprising comparing the synthesized projection data to the measured projection data, the method further comprises: detecting and isolating a region of the regularized image data that represents an aspect of the object that generates an inconsistency in the measured projection data, the detecting and isolating comprising thresholding the regularized image data and segmenting at least one of voxels or pixels comprised in the image data with values greater than a specified threshold such that at least one of a first voxel or a first pixel with a value less than or equal to the specified threshold is masked; forward projecting the region to generate inconsistent projection data; and correcting the measured projection data based at least in part upon the inconsistent projection data to generate corrected projection data, wherein the updating comprises comparing the corrected projection data to the synthesized projection data. detecting and isolating a region of the regularized image data that represents an aspect of the object that generates an inconsistency in the measured projection data, the detecting and isolating comprising thresholding the regularized image data and segmenting at least one of voxels or pixels comprised in the image data with values greater than a specified threshold such that at least one of a first voxel or a first pixel with a value less than or equal to the specified threshold is masked; forward projecting the region to generate inconsistent projection data; and correcting the measured projection data based at least in part upon the inconsistent projection data to generate corrected projection data, wherein the updating comprises comparing the corrected projection data to the synthesized projection data.