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http://dx.doi.org/10.14316/pmp.2013.24.4.303

Theoretical Investigation of Metal Artifact Reduction Based on Sinogram Normalization in Computed Tomography  

Jeon, Hosang (Department of Radiation Oncology, Pusan National University Yangsan Hospital)
Youn, Hanbean (School of Mechanical Engineering, Pusan National University)
Nam, Jiho (Department of Radiation Oncology, Pusan National University Yangsan Hospital)
Kim, Ho Kyung (School of Mechanical Engineering, Pusan National University)
Publication Information
Progress in Medical Physics / v.24, no.4, 2013 , pp. 303-314 More about this Journal
Abstract
Image quality of computed tomography (CT) is very vulnerable to metal artifacts. Recently, the thickness and background normalization techniques have been introduced. Since they provide flat sinograms, it is easy to determine metal traces and a simple linear interpolation would be enough to describe the missing data in sinograms. In this study, we have developed a theory describing two normalization methods and compared two methods with respect to various sizes and numbers of metal inserts by using simple numerical simulations. The developed theory showed that the background normalization provide flatter sinograms than the thickness normalization, which was validated with the simulation results. Numerical simulation results with respect to various sizes and numbers of metal inserts showed that the background normalization was better than the thickness normalization for metal artifact corrections. Although the residual artifacts still existed, we have showed that the background normalization without the segmentation procedure was better than the thickness normalization for metal artifact corrections. Since the background normalization without the segmentation procedure is simple and it does not require any users' intervention, it can be readily installed in conventional CT systems.
Keywords
Computed tomography; Metal artifact; Sinogram; Linear interpolation;
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