An improved non-local means filter for denoising in brain magnetic resonance imaging based on fuzzy cluster

Bin Liu; Xinzhu Sang; Shujun Xing; Bo Wang

doi:10.1117/12.2071401

20 November 2014 An improved non-local means filter for denoising in brain magnetic resonance imaging based on fuzzy cluster

Bin Liu, Xinzhu Sang, Shujun Xing, Bo Wang

Author Affiliations +

Proceedings Volume 9268, Optics in Health Care and Biomedical Optics VI; 92681U (2014) https://doi.org/10.1117/12.2071401
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

Combining non-local means (NLM) filter with appropriate fuzzy cluster criterion, objective and subjective manners with synthetic brain Magnetic Resonance Imaging(MRI) are evaluated. Experimental results show that noise is effectively suppressed while image details are well kept, compared with the traditional NLM method. Meanwhile, quantitative and qualitative results indicate that artifacts are greatly reduced in our proposed method and brain MR images are typically enhanced.

Citation Download Citation

Bin Liu, Xinzhu Sang, Shujun Xing, and Bo Wang "An improved non-local means filter for denoising in brain magnetic resonance imaging based on fuzzy cluster", Proc. SPIE 9268, Optics in Health Care and Biomedical Optics VI, 92681U (20 November 2014); https://doi.org/10.1117/12.2071401

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