Singular Value Decomposition-Based Adaptive Sampling Approximate Message Passing Net for Sparse-View CT Reconstruction

Singular Value Decomposition-Based Adaptive Sampling Approximate Message Passing Net for Sparse-View CT Reconstruction

Sparse-viewcomputed tomography (CT) imaging is a promising technique for reducing radiation dose and accelerating data acquisition in medical imaging. However, the challenges of handling a reduced number of projection views persist for both iterative estimation and deep neural reconstruction methods...

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Bibliographic Details
Main Authors: Zhenhua Wu, Jiafei Xu, Lixia Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Photonics Journal
Subjects:
Adaptive sampling
ASAMP-Net
deep unfolding
image reconstruction
sparse-view CT
Online Access:https://ieeexplore.ieee.org/document/10342860/

Internet

https://ieeexplore.ieee.org/document/10342860/

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