Denoising MR Images Using Non-Local Means Filter with Combined Patch and Pixel Similarity

Denoising is critical for improving visual quality and reliability of associative quantitative analysis when magnetic resonance (MR) images are acquired with low signal-to-noise ratios. The classical non-local means (NLM) filter, which averages pixels weighted by the similarity of their neighborhood...

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Detalles Bibliográficos
Autores principales: Zhang, Xinyuan, Hou, Guirong, Ma, Jianhua, Yang, Wei, Lin, Bingquan, Xu, Yikai, Chen, Wufan, Feng, Yanqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059740/
https://www.ncbi.nlm.nih.gov/pubmed/24933024
http://dx.doi.org/10.1371/journal.pone.0100240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059740/
https://www.ncbi.nlm.nih.gov/pubmed/24933024
http://dx.doi.org/10.1371/journal.pone.0100240

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