Comparison of the performance of denoising filters in improving the quality of low-dose brain PET images with two dose levels of 5% and 10%

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Azimi Mohammad Saber; KAMALI ASL ALIREZA; AY MOHAMMAD REZA; ARABI HOSSEIN

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Journal Paper

Paper Information

Journal: Medical Journal of Mashhad University of Medical Sciences Year:2022 | Volume:65 | Issue:3 Page(s): 947-955

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Title

Comparison of the performance of denoising filters in improving the quality of low-dose brain PET images with two dose levels of 5% and 10%

Author(s)

Azimi Mohammad Saber | KAMALI ASL ALIREZA | AY MOHAMMAD REZA | ARABI HOSSEIN | Issue Writer Certificate

Keywords

Denoising Low-Dose PET image

Bilateral Filter

Gaussian Filter

Wavelet Transform Filter

Non-Local Mean Filter

Abstract

Introduction: Positron Emission tomography (PET) as a nuclear medicine imaging modality is increasingly used in clinical practice to diagnose disease and cancer. To achieve a high-quality PET image for diagnostic purposes, a standard dose of radioactive tracer must be injected into the patient's body, which increases the risk of radiation damage. However, reducing the tracer dose leads to increase in noise and decrease in the signal-to-noise ratio and the quality of the PET. This paper aims to evaluate the performance of Gaussian Filter, Bilateral Filter, Non-Local Mean and Wavelet Transform Filters in improving the quality of low-dose PET images. Materials and Methods: First, these filters were optimized separately for two dose levels, and then the optimal filters were applied to 40 PET brain images with a 5% and 10% dose leveles. Finally, the performance of these filters was evaluated and compared using PSNR, RMSE criteria in the whole brain and RMSE and Bias criteria in different areas of the brain (e. g, thalamus, cerebellum, putamen, etc. ). Results: Examination of the whole brain showed at both dose levels, Bilateral, Gaussian, and Non-Local Mean, performed better than Wavelet Transform and were able to improve the quality of the filtered image at the 5% dose level to 10%. However, examination of bias values in different areas of the brain showed the Non-Local Mean Filter has the best performance and the Wavelet Transform Filter has the worst performance. Conclusion: The best performance was obtained by the Non-Local Mean Filter and the worst performance was obtained by the Wavelet Transform Filter.

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APA: Copy

Azimi, Mohammad Saber, KAMALI ASL, ALIREZA, AY, MOHAMMAD REZA, & ARABI, HOSSEIN. (2022). Comparison of the performance of denoising filters in improving the quality of low-dose brain PET images with two dose levels of 5% and 10%. MEDICAL JOURNAL OF MASHHAD UNIVERSITY OF MEDICAL SCIENCES, 65(3 ), 947-955. SID. https://sid.ir/paper/1126796/en

Vancouver: Copy

Azimi Mohammad Saber, KAMALI ASL ALIREZA, AY MOHAMMAD REZA, ARABI HOSSEIN. Comparison of the performance of denoising filters in improving the quality of low-dose brain PET images with two dose levels of 5% and 10%. MEDICAL JOURNAL OF MASHHAD UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2022;65(3 ):947-955. Available from: https://sid.ir/paper/1126796/en

IEEE: Copy

Mohammad Saber Azimi, ALIREZA KAMALI ASL, MOHAMMAD REZA AY, and HOSSEIN ARABI, “Comparison of the performance of denoising filters in improving the quality of low-dose brain PET images with two dose levels of 5% and 10%,” MEDICAL JOURNAL OF MASHHAD UNIVERSITY OF MEDICAL SCIENCES, vol. 65, no. 3 , pp. 947–955, 2022, [Online]. Available: https://sid.ir/paper/1126796/en

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