Feature Guided Motion Artifact Reduction With Structure-Awareness in 4D CT Images
In this paper, the authors propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the local anatomy structures. Their method first computes an interface seam for the stitching in the overlapping region of the first image, which passes through the "Smoothest" region, to reduce the structure complexity along the stitching interface. Then, they compute the displacements of the seam by matching the corresponding interface seam in the second image. They use sparse 3D features as the structure cues to guide the seam matching, in which a regularization term is incorporated to keep the structure consistency.