Research and Implementation of Denoising Algorithm for Brain MRIs via Morphological Component Analysis and Adaptive Threshold Estimation

Research and Implementation of Denoising Algorithm for Brain MRIs via Morphological Component Analysis and Adaptive Threshold Estimation

The inevitable noise generated in the acquisition and transmission process of MRIs seriously affects the reliability and accuracy of medical research and diagnosis. The denoising effect for Rician noise, whose distribution is related to MR image signal, is not good enough. Furthermore, the brain has...

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Detalles Bibliográficos
Autores principales: Buhailiqiemu Awudong, Paerhati Yakupu, Jingwen Yan, Qi Li
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2024-03-01
Colección:Mathematics
Materias:
MRIs denoising
variance-stabilizing transformation (VST)
morphological component analysis (MCA)
sparse representation
local adaptive thresholds
Acceso en línea:https://www.mdpi.com/2227-7390/12/5/748

Internet

https://www.mdpi.com/2227-7390/12/5/748

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