Weighted adaptive non-local dictionary for low-dose CT reconstruction-Reference-Cited by-同舟云学术

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Weighted adaptive non-local dictionary for low-dose CT reconstruction

Published:2021-03 Issue: Volume:180 Page:107871
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Yu Haijun,Wang Shaoyu^ORCID,Wu Weiwen,Gong Changcheng,Wang Linbo,Pi Zhenzhen,Liu Fenglin

Funder

National Natural Science Foundation of China

National Instrumentation Program of China

Open Program of Industrial CT Engineering Research Center of the Ministry of Education

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference48 articles.

1. Two stage residual CNN for texture denoising and structure enhancement on low dose CT image;Huang;Comput. Methods Programs Biomed.,2020

2. Adaptive iterative reconstruction based on relative total variation for low-intensity computed tomography;Gong;Signal Process.,2019

3. Simultaneous algebraic reconstruction technique (SART): a superior implementation of the ART algorithm;Andersen;Ultrason. Imaging,1984

4. Nonlinear sinogram smoothing for low-dose X-ray CT;Tianfang;IEEE Trans. Nucl. Sci.,2004

5. Content-oriented sparse representation (COSR) for CT denoising with preservation of texture and edge;Xie;Med. Phys.,2018

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3. Side Information-Assisted Low-Dose CT Reconstruction;IEEE Transactions on Computational Imaging;2024

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