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Original Article

Korean Journal of Medical Physics 2013; 24(4): 303-314

Published online December 30, 2013

Copyright © Korean Society of Medical Physics.

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

컴퓨터 단층영상에서 사이노그램 정규화를 이용한 금속 영상왜곡 저감 방법의 이론적 고찰

Hosang Jeon*, Hanbean Youn, Jiho Nam*, Ho Kyung Kim†‡

전호상*ㆍ윤한빈ㆍ남지호*ㆍ김호경†‡

*Department of Radiation Oncology, Pusan National University Yangsan Hospital, Yangsan, School of Mechanical Engineering, Pusan National University, Busan, Advanced Medical Engineering Research Center, Pusan National University, Busan, Korea

*양산부산대학교병원 방사선종양학과, 부산대학교 기계공학부, 부산대학교 차세대의료기술연구센터

Received: December 12, 2013; Accepted: December 17, 2013

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.

KeywordsComputed tomography, Metal artifact, Sinogram, Linear interpolation

Korean Society of Medical Physics

Vol.35 No.2
June 2024

pISSN 2508-4445
eISSN 2508-4453
Formerly ISSN 1226-5829

Frequency: Quarterly

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