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Optimization of search window and mask size for non-local means noise reduction algorithm in chest digital tomosynthesis: a phantom study

  • Original Paper - Cross-Disciplinary Physics and Related Areas of Science and Technology
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Abstract

Among the parameters of non-local means (NLM) noise reduction algorithm, the search window and mask size have a great influence on the quality of diagnostic medical images. In this study, we aim to optimize the NLM noise reduction algorithm in the chest digital tomosynthesis (CDT) system. The parameters of the NLM algorithm were set to a search window of 11 × 11 to 101 × 101 and a mask size of 3 × 3 to 11 × 11. The quantitative evaluation method of the acquired CDT image used coefficient of variation (COV) and contrast-to-noise ratio (CNR). COV showed improved results as the search window was increased, and CNR showed the best results at a window size of 61 × 61. In addition, we could confirm that the COV and CNR steadily improved as the size of the mask increased. In conclusion, we expect that when applying the NLM noise reduction algorithm to CDT X-ray images, appropriate parameters can be derived and applied.

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Acknowledgements

This study was supported by Gachon University Research Fund 2023 (GCU-202303880001).

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Authors and Affiliations

  1. Department of Biomedical Engineering, Eulji University, Seongnam, Republic of Korea

    Kyuseok Kim, Seong-Hyeon Kang & Hyun-Woo Jeong

  2. Department of Health Science, General Graduate School of Gachon University, Incheon, Republic of Korea

    Minji Park, Sewon Lim & Hajin Kim

  3. Department of Radiological Science, Gachon University, Incheon, Republic of Korea

    Youngjin Lee

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  1. Kyuseok Kim
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Correspondence to Hyun-Woo Jeong or Youngjin Lee.

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Kim, K., Park, M., Lim, S. et al. Optimization of search window and mask size for non-local means noise reduction algorithm in chest digital tomosynthesis: a phantom study. J. Korean Phys. Soc. 84, 566–572 (2024). https://doi.org/10.1007/s40042-024-01007-9

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  • DOI: https://doi.org/10.1007/s40042-024-01007-9

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