Helical CT Reconstruction From Sparse-View Data Through Exploiting the 3D Anatomical Structure Sparsity

Helical CT Reconstruction From Sparse-View Data Through Exploiting the 3D Anatomical Structure Sparsity

Sparse-view scanning has great potential for realizing ultra-low-dose computed tomography (CT) examination. However, noise and artifacts in reconstructed images are big obstacles, which must be handled to maintain the diagnosis accuracy. Existing sparse-view CT reconstruction algorithms were usually...

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Bibliographic Details
Main Authors: Yongbo Wang, Gaofeng Chen, Tao Xi, Zhaoying Bian, Dong Zeng, Habib Zaidi, Ji He, Jianhua Ma
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Helical CT
sparse-view
tensor
total variation
iterative reconstruction
Online Access:https://ieeexplore.ieee.org/document/9314041/

Internet

https://ieeexplore.ieee.org/document/9314041/

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