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

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-means and...

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Detalles Bibliográficos
Autores principales: Chen, Kaixin, Lin, Xiao, Hu, Xing, Wang, Jiayao, Zhong, Han, Jiang, Linhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945655/
https://www.ncbi.nlm.nih.gov/pubmed/31906873
http://dx.doi.org/10.1186/s12880-019-0407-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945655/
https://www.ncbi.nlm.nih.gov/pubmed/31906873
http://dx.doi.org/10.1186/s12880-019-0407-4

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