Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Improved DCT-Based Nonlocal Means Filter for MR Images Denoising
por: Hu, Jinrong, et al.
Publicado: (2012) -
Brain MR image denoising for Rician noise using pre-smooth non-local means filter
por: Yang, Jian, et al.
Publicado: (2015) -
Quantitative and Comparative Analysis of Effectivity and Robustness for Enhanced and Optimized Non-Local Mean Filter Combining Pixel and Patch Information on MR Images of Musculoskeletal System
por: Kubicek, Jan, et al.
Publicado: (2021) -
An adaptive non-local means filter for denoising live-cell images and improving particle detection
por: Yang, Lei, et al.
Publicado: (2010) -
CONN-NLM: A Novel CONNectome-Based Non-local Means Filter for PET-MRI Denoising
por: Sun, Zhuopin, et al.
Publicado: (2022)