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Updated: May 18, 2026
Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
Published on: May 17, 2018
Metal-induced streak artifact reduction using iterative reconstruction algorithms in x-ray computed tomography image
Jian Dong1, Yoshihiko Hayakawa, Sven Kannenberg
1Department of Computer Science, Faculty of Engineering, Kitami Institute of Technology, Hokkaido, Japan. dongjian2007happy@yahoo.co.jp
Objective:
The objective of this study was to reduce metal-induced streak artifact on oral and maxillofacial x-ray computed tomography (CT) images by developing the fast statistical image reconstruction system using iterative reconstruction algorithms.
Study Design:
Adjacent CT images often depict similar anatomical structures in thin slices. So, first, images were reconstructed using the same projection data of an artifact-free image. Second, images were processed by the successive iterative restoration method where projection data were generated from reconstructed image in sequence. Besides the maximum likelihood-expectation maximization algorithm, the ordered subset-expectation maximization algorithm (OS-EM) was examined. Also, small region of interest (ROI) setting and reverse processing were applied for improving performance.
Results:
Both algorithms reduced artifacts instead of slightly decreasing gray levels. The OS-EM and small ROI reduced the processing duration without apparent detriments. Sequential and reverse processing did not show apparent effects.
Conclusions:
Two alternatives in iterative reconstruction methods were effective for artifact reduction. The OS-EM algorithm and small ROI setting improved the performance.
