Experimental study of noise level optimization in brain single-photon emission computed tomography images using non-local means approach with various reconstruction methods

The noise reduction algorithm using the non-local means (NLM) approach is very efficient in nuclear medicine imaging. In this study, the applicability of the NLM noise reduction algorithm in single-photon emission computed tomography (SPECT) images with a brain phantom and the optimization of the NL...

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Vydáno v:	Nuclear engineering and technology Ročník 55; číslo 5; s. 1527 - 1532
Hlavní autoři:	Kang, Seong-Hyeon, Lee, Seungwan, Lee, Youngjin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.05.2023 Elsevier 한국원자력학회
Témata:	Noise reduction algorithm Non-local means (NLM) approach Optimization of NLM algorithm Quantitative evaluation of image quality SPECT image reconstruction methods 원자력공학 SPECT image reconstruction methods Noise reduction algorithm Quantitative evaluation of image quality Non-local means (NLM) approach Optimization of NLM algorithm
ISSN:	1738-5733, 2234-358X
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Shrnutí:	The noise reduction algorithm using the non-local means (NLM) approach is very efficient in nuclear medicine imaging. In this study, the applicability of the NLM noise reduction algorithm in single-photon emission computed tomography (SPECT) images with a brain phantom and the optimization of the NLM algorithm by changing the smoothing factors according to various reconstruction methods are investigated. Brain phantom images were reconstructed using filtered back projection (FBP) and ordered subset expectation maximization (OSEM). The smoothing factor of the NLM noise reduction algorithm determined the optimal coefficient of variation (COV) and contrast-to-noise ratio (CNR) results at a value of 0.020 in the FBP and OSEM reconstruction methods. We confirmed that the FBP- and OSEM-based SPECT images using the algorithm applied with the optimal smoothing factor improved the COV and CNR by 66.94% and 8.00% on average, respectively, compared to those of the original image. In conclusion, an optimized smoothing factor was derived from the NLM approach-based algorithm in brain SPECT images and may be applicable to various nuclear medicine imaging techniques in the future.
ISSN:	1738-5733 2234-358X
DOI:	10.1016/j.net.2023.01.013