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What is Rician Noise Reduction in MR Imaging about?

This paper presents a nonlocal maximum likelihood (NLML) estimation method for reducing Rician noise in magnetic resonance (MR) images, which is crucial for improving clinical diagnosis and analysis. The proposed method outperforms conventional local maximum likelihood techniques by better preserving sharp tissue boundaries and reducing artifacts while estimating noise-free signals from MR images. The study highlights the limitations of existing denoising methods and demonstrates the effectiveness of NLML i

Author

Bilal Ahmed

Language

EN