An enhanced adaptive non-local means algorithm for Rician noise reduction in magnetic resonance brain images

An enhanced adaptive non-local means algorithm for Rician noise reduction in magnetic resonance brain images

Abstract Background The Rician noise formed in magnetic resonance (MR) imaging greatly reduced the accuracy and reliability of subsequent analysis, and most of the existing denoising methods are suitable for Gaussian noise rather than Rician noise. Aiming to solve this problem, we proposed fuzzy c-m...

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Bibliographic Details
Main Authors: Kaixin Chen, Xiao Lin, Xing Hu, Jiayao Wang, Han Zhong, Linhua Jiang
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Medical Imaging
Subjects:
MR brain images
Rician noise reduction
Median absolute deviation (MAD)
Adaptive non-local means (NLM)
Online Access:https://doi.org/10.1186/s12880-019-0407-4

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