[A non-local means approach for PET image denoising].

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Abstract

Denoising is an important issue for medical image processing. Based on the analysis of the Non-local means algorithm recently reported by Buades A, et al. in international journals we herein propose adapting it for PET image denoising. Experimental de-noising results for real clinical PET images show that Non-local means method is superior to median filtering and wiener filtering methods and it can suppress noise in PET images effectively and preserve important details of structure for diagnosis.

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Yin, Y., Sun, W., Lu, J., & Liu, T. (2010). [A non-local means approach for PET image denoising]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, 27(2), 274–277. https://doi.org/10.1007/978-3-642-03879-2_36

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