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Removing Ring Artifacts in CBCT Images Using Smoothing Based on Relative Total Variation

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Neural Information Processing (ICONIP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9947))

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Abstract

Removing ring artifacts in Cone Beam Computed Tomography (CBCT) images without impairing the image quality is critical for the application of CBCT. In this paper, we propose a novel method for the removal of ring artifacts in CBCT Images using an image smoothing based on relative total variation (RTV). After transforming the CBCT image into polar coordinates, we introduce a single-direction smoothing to separate the small scale textures, which include the artifacts, from the image structures. Then the artifact template is generated by median value extraction. Finally, the artifact template is transformed back into Cartesian coordinates and is subtracted from the original CBCT image. Experiments on different CBCT images show that the proposed method can obtain satisfactory results.

Y. Lu—This work was supported in part by National Natural Science Foundation of China under Grant No. 61273273,61271374, the Specialized Fund for Joint Building Program of Beijing Municipal Education Commission.

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Author information

Authors and Affiliations

  1. Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

    Qirun Huo, Jianwu Li, Yao Lu & Ziye Yan

  2. College of Information Engineering, Capital Normal University, Beijing, 100048, China

    Qirun Huo

  3. China Resource Wandong Medical Equipment Co., Ltd., Beijing, 100015, China

    Ziye Yan

Authors
  1. Qirun Huo
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  2. Jianwu Li
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  3. Yao Lu
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  4. Ziye Yan
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Corresponding author

Correspondence to Yao Lu .

Editor information

Editors and Affiliations

  1. The University of Tokyo, Tokyo, Japan

    Akira Hirose

  2. Kobe University, Kobe, Japan

    Seiichi Ozawa

  3. Okinawa Institute of Science and Technology Graduate University, Onna, Japan

    Kenji Doya

  4. Nara Institute of Science and Technology, Ikoma, Japan

    Kazushi Ikeda

  5. Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

  6. Chinese Academy of Sciences, Beijing, China

    Derong Liu

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Huo, Q., Li, J., Lu, Y., Yan, Z. (2016). Removing Ring Artifacts in CBCT Images Using Smoothing Based on Relative Total Variation. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9947. Springer, Cham. https://doi.org/10.1007/978-3-319-46687-3_55

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  • DOI: https://doi.org/10.1007/978-3-319-46687-3_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46686-6

  • Online ISBN: 978-3-319-46687-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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