Shearlet‐based compressed sensing with non‐local similarity for MRI breast image reconstruction

Shearlet‐based compressed sensing with non‐local similarity for MRI breast image reconstruction

Abstract Magnetic resonance imaging (MRI) requires long detection time and makes patients uncomfortable. The proposed compressed sensing MRI compressed sensing with shearlet dictionary and non‐local similarity model is established with shearlet dictionary and non‐local similarity. The shearlet dicti...

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Bibliographic Details
Main Authors: Xiaotao Shao, Caike Wei, Yi Xie, Zhongli Wang, Yan Shen
Format: Article
Language:English
Published: Hindawi-IET 2021-12-01
Series:IET Signal Processing
Subjects:
biomedical MRI
data compression
image reconstruction
iterative methods
medical image processing
compressed sensing
Online Access:https://doi.org/10.1049/sil2.12062

Internet

https://doi.org/10.1049/sil2.12062

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