title: Iterative CT shading correction with no prior information.
abstract: Shading artifacts in CT images are caused by scatter contamination, beam-hardening effect and other non-ideal imaging conditions. The purpose of this study is to propose a novel and general correction framework to eliminate low-frequency shading artifacts in CT images (e.g. cone-beam CT, low-kVp CT) without relying on prior information. The method is based on the general knowledge of the relatively uniform CT number distribution in one tissue component. The CT image is first segmented to construct a template image where each structure is filled with the same CT number of a specific tissue type. Then, by subtracting the ideal template from the CT image, the residual image from various error sources are generated. Since forward projection is an integration process, non-continuous shading artifacts in the image become continuous signals in a line integral. Thus, the residual image is forward projected and its line integral is low-pass filtered in order to estimate the error that causes shading artifacts. A compensation map is reconstructed from the filtered line integral error using a standard FDK algorithm and added back to the original image for shading correction. As the segmented image does not accurately depict a shaded CT image, the proposed scheme is iterated until the variation of the residual image is minimized. The proposed method is evaluated using cone-beam CT images of a Catphan©600 phantom and a pelvis patient, and low-kVp CT angiography images for carotid artery assessment. Compared with the CT image without correction, the proposed method reduces the overall CT number error from over 200 HU to be less than 30 HU and increases the spatial uniformity by a factor of 1.5. Low-contrast object is faithfully retained after the proposed correction. An effective iterative algorithm for shading correction in CT imaging is proposed that is only assisted by general anatomical information without relying on prior knowledge. The proposed method is thus practical and attractive as a general solution to CT shading correction.
authors.affiliation: Sir Run Run Shaw Hospital, Zhejiang University School of Medicine; Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang, 310016, People's Republic of China.
authors.forename: Pengwei
authors.initials: P
authors.lastname: Wu
authors.forename: Xiaonan
authors.initials: X
authors.lastname: Sun
authors.forename: Hongjie
authors.initials: H
authors.lastname: Hu
authors.forename: Tingyu
authors.initials: T
authors.lastname: Mao
authors.forename: Wei
authors.initials: W
authors.lastname: Zhao
authors.forename: Ke
authors.initials: K
authors.lastname: Sheng
authors.forename: Alice A
authors.initials: AA
authors.lastname: Cheung
authors.forename: Tianye
authors.initials: T
authors.lastname: Niu
mesh_terms: D000465:Algorithms; D054893:Cone-Beam Computed Tomography / Q000379:methods*; D006801:Humans; D010388:Pelvis / Q000000981:diagnostic imaging; D019047:Phantoms, Imaging; D012542:Scattering, Radiation