Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Optimization of block-matching and 3D filtering (BM3D) algorithm in brain SPECT imaging using fan beam collimator: Phantom study

  • Do, Yongho (Department of Nuclear Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center) ;
  • Cho, Youngkwon (Department of Radiological Science, Cheongju University) ;
  • Kang, Seong-Hyeon (Department of Health Science, General Graduate School of Gachon University) ;
  • Lee, Youngjin (Department of Radiological Science, College of Health Science, Gachon University,)
  • Received : 2022.02.06
  • Accepted : 2022.04.14
  • Published : 2022.09.25
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Abstract

The purpose of this study is to model and optimize the block-matching and 3D filtering (BM3D) algorithm and to evaluate its applicability in brain single-photon emission computed tomography (SPECT) images using a fan beam collimator. For quantitative evaluation of the noise level, the coefficient of variation (COV) and contrast-to-noise ratio (CNR) were used, and finally, a no-reference-based evaluation parameter was used for optimization of the BM3D algorithm in the brain SPECT images. As a result, optimized results were derived when the sigma values of the BM3D algorithm were 0.15, 0.2, and 0.25 in brain SPECT images acquired for 5, 10, and 15 s, respectively. In addition, when the sigma value of the optimized BM3D algorithm was applied, superior results were obtained compared with conventional filtering methods. In particular, we confirmed that the COV and CNR of the images obtained using the BM3D algorithm were improved by 2.40 and 2.33 times, respectively, compared with the original image. In conclusion, the usefulness of the optimized BM3D algorithm in brain SPECT images using a fan beam collimator has been proven, and based on the results, it is expected that its application in various nuclear medicine examinations will be possible.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF-2021R1F1A1061440).

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