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2025 , Vol. 30 >Issue 3: 446 - 454

DOI: https://doi.org/10.1007/s12204-023-2643-6

Medicine-Engineering Interdisciplinary

Improvement of Prior Image for Metal Artifact Reduction of Computed Tomography

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  • 1. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China; 2. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 3. School of Biomedical Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China

Received date: 2022-09-03

  Accepted date: 2022-12-24

  Online published: 2025-06-06

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Abstract

It is not easy to reduce the metal artifacts of computed tomography images. However, the pixel values inside the metal artifact regions vary smoothly, while those on the borders of the metal and the bone regions vary sharply. When the Canny operation by adaptive thresholding is conducted on the raw image, the almost continuous edges can be formed obviously on the borders of the metal and the bone regions, but this kind of information cannot be formed for the metal artifact regions. In this paper, by searching the closed areas formed by the border edges of the bone regions in the Canny image, the metal artifact regions, which are very difficult to discriminate only by intensity thresholding, can be excluded effectively. A novel prior image-based method is thus developed for metal artifact reduction. The experiments demonstrate that the proposed method can be realized easily and reduce the metal artifacts effectively even if multiple large metal objects exist simultaneously in the image. The method is suitable for the clinical application.

Cite this article

Sun Wenwu, Zhuang Tiange, Chen Siping . Improvement of Prior Image for Metal Artifact Reduction of Computed Tomography[J]. Journal of Shanghai Jiaotong University(Science), 2025 , 30(3) : 446 -454 . DOI: 10.1007/s12204-023-2643-6

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