Separation-based model for low-dose CT image denoising

Separation-based model for low-dose CT image denoising

Low-dose computed tomography (LDCT) image often contains mottle noise and streak artefacts, which seriously interfere with clinical diagnosis. In this study, the separation-based (SEPB) method is proposed for mottle noise and streak artefacts suppression and structure preservation. In it, the LDCT i...

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Bibliographic Details
Main Authors: Wenbin Chen, Junjie Bai, Xiaohua Gu, Yuyan Li, Yanling Shao, Quan Zhang, Yi Liu, Yanli Liu, Zhiguo Gui
Format: Article
Language:English
Published: Wiley 2020-12-01
Series:The Journal of Engineering
Subjects:
singular value decomposition
image denoising
phantoms
smoothing methods
computerised tomography
medical image processing
filtered structural image
streak artefacts image
structural atoms
low-dose ct image
low-dose computed tomography image
separation-based method
residual mottle noise
image smoothing method
image decomposition structural-preserving image smoothing method
local intuitional fuzzy entropy
modified shepp-logan phantom
k-singular value decomposition algorithm
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0996

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0996

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