A CauchyTV non-convex regularization model for MRI reconstruction

In this paper, we study the non-convex regularization problem based on magnetic resonance imaging (MRI) reconstruction. In order to achieve high quality and fast reconstruction of MRI images, we use the non-convex Cauchy total variation (CauchyTV) as the regularization term for MRI reconstruction, a...

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Bibliographic Details
Published inSignal, image and video processing Vol. 17; no. 7; pp. 3275 - 3282
Main Authors Lu, Yi, Zhang, Benxin, Zhu, Zhibin, Liu, Yufeng
Format Journal Article
LanguageEnglish
Published London Springer London 01.10.2023
Springer Nature B.V
Subjects
Computer Imaging
Computer Science
Image Processing and Computer Vision
Image quality
Image reconstruction
Magnetic resonance imaging
Multimedia Information Systems
Original Paper
Pattern Recognition and Graphics
Regularization
Signal,Image and Speech Processing
Vision
Cauchy penalty function
MRI reconstruction
ADMM
TV regularization
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Summary:In this paper, we study the non-convex regularization problem based on magnetic resonance imaging (MRI) reconstruction. In order to achieve high quality and fast reconstruction of MRI images, we use the non-convex Cauchy total variation (CauchyTV) as the regularization term for MRI reconstruction, and an effective alternating direction method of multipliers is selected to solve the new model. The CauchyTV model can effectively improve the fitting performance and reduce aliasing artifacts. The experimental results show that the performance of the CauchyTV model is better than the other typical TV regularization methods.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-023-02542-x