A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images

Shinkook Choi, Jongduk Baek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


In a cone beam computed tomography (CT) system, Feldkamp, Davis, and Kress (FDK) algorithm produces cone beam artifacts due to the missing cone region which has the insufficient object sampling in frequency space. While the total variation minimization based iterative reconstruction (TV-IR) may reduce the cone beam artifacts by filling in the missing cone region, it introduces image blurring or noise increase depending on the regularization parameter. In this work, we propose a method to reduce the cone beam artifacts by optimal combination of FDK and TV-IR images. The method maintains the exactness of FDK using FDK data outside the missing cone region and preserves the benefit of TV-IR in cone beam artifact reduction using TV-IR data inside the missing cone region. For the evaluation, defrise disks phantom and vertical plates phantom were used and the image quality was compared using structural similarity (SSIM) with different regularization parameters of TV-IR. The results show that both TV-IR and the proposed method were effective in cone beam artifacts reduction, but the proposed method provided good image quality regardless of the regularization parameter.

Original languageEnglish
Title of host publicationMedical Imaging 2018
Subtitle of host publicationImage Processing
EditorsElsa D. Angelini, Elsa D. Angelini, Bennett A. Landman
ISBN (Electronic)9781510616370
Publication statusPublished - 2018
EventMedical Imaging 2018: Image Processing - Houston, United States
Duration: 2018 Feb 112018 Feb 13

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2018: Image Processing
Country/TerritoryUnited States

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017M2A2A6A02087175, 2017M2A2A4A01070302, 2017M2A2A6A01019663, 2015R1C1A1A01052268); MSIT(Ministry of Science and ICT), Korea, under the “ICT Consilience Creative program”(IITP-2017-2017-0-01015) supervised by the IITP(Institute for Information & communications Technology Promotion)

Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


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