Block matching sparsity regularization-based image reconstruction for incomplete projection data in computed tomography-Reference-Cited by-同舟云学术

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Block matching sparsity regularization-based image reconstruction for incomplete projection data in computed tomography

Published:2018-02-06 Issue:3 Volume:63 Page:035045
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Cai Ailong,Li Lei,Zheng Zhizhong,Zhang Hanming,Wang Linyuan,Hu Guoen,Yan Bin

Funder

National Natural Science Foundation of China

Publisher

IOP Publishing

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/aa9e63/pdf

Reference42 articles.

1. Simultaneous Algebraic Reconstruction Technique (SART): A Superior Implementation of the Art Algorithm

2. Total Generalized Variation

3. Stable signal recovery from incomplete and inaccurate measurements

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1. A dual-energy CT reconstruction method based on anchor network from dual quarter scans;Journal of X-Ray Science and Technology;2024-03-27

2. Total variation combining nonlocal means filtration for image reconstruction in X-ray computed tomography;Journal of X-Ray Science and Technology;2022-04-15

3. Moreau-envelope-enhanced nonlocal shearlet transform and total variation for sparse-view CT reconstruction;Measurement Science and Technology;2020-10-26

4. A Direct Material Reconstruction Method for DECT Based on Total Variation and BM3D Frame;IEEE Access;2019

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