title: Fast CT metal artefacts correction based on derivative and region-based filling.
abstract: BACKGROUND
  Metal artefacts seriously degrade the quality of the CT images. Blurring around the junctions between metal and non-metal regions in CT images, metal artefacts often prevent right diagnoses, and even lead to misdiagnoses of patients. The aim of the study was to devise a fast and robust method to improve the quality of the artefact-contaminated CT images.
  
  
  METHODS
  The proposed artefact correction includes the following five steps: metal object segmentation, forward projection, region-based filling, adaptive scaling and final image reconstruction.
  
  
  RESULTS
  The feasibility of the proposed method in correcting metal artefacts was validated by experiments on both simulated and clinical images. Experiments showed the proposed correction could lead to fast and effective reduction of metal artefacts in CT images.
  
  
  CONCLUSIONS
  Compared with other methods, the proposed method has less computational cost and allows a feasible and easy implantation into current CT imaging systems.
authors.affiliation: Laboratory of Image Science and Technology, Southeast University, Nanjing, China.
authors.forename: YuanJin
authors.initials: Y
authors.lastname: Li
authors.forename: Yang
authors.initials: Y
authors.lastname: Chen
authors.forename: LiMin
authors.initials: L
authors.lastname: Luo
authors.forename: PengCheng
authors.initials: P
authors.lastname: Zhang
authors.forename: Quan
authors.initials: Q
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006801:Humans; D008670:Metals; D019047:Phantoms, Imaging; D019736:Prostheses and Implants; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*
chemical_list: D008670:Metals