Paper
5 July 2024 Research status and prospect of ring artifact correction method for x-ray CT
Zhuo Chen, Xiaoqi Xi, Yu Han, Siyu Tan, Chunhui Wang, Yanmin Sun, Lei Li, Bin Yan
Author Affiliations +
Proceedings Volume 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024); 1318314 (2024) https://doi.org/10.1117/12.3033856
Event: The 3rd International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 2024, Wuhan, China
Abstract
Ring artifacts are one of the most common artifacts in all types of computed tomography (CT) images and are usually caused by inconsistent response of detector pixels to X-rays. Effective removal of ring artifacts can greatly improve the quality of CT images and improve the accuracy of later diagnosis and analysis, which is a necessary step in CT image reconstruction. Therefore, the ring artifact removal method (also known as "ring artifact correction") was systematically reviewed. Firstly, the formation mechanism and performance of ring artifacts were introduced. Secondly, the ring artifact correction methods of hardware correction, software correction and deep learning correction are introduced in turn, and the principle, development process, advantages and disadvantages of each type of method are analyzed. Finally, the advantages and disadvantages of the existing ring artifact removal methods are summarized, and the solutions are prospected.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhuo Chen, Xiaoqi Xi, Yu Han, Siyu Tan, Chunhui Wang, Yanmin Sun, Lei Li, and Bin Yan "Research status and prospect of ring artifact correction method for x-ray CT", Proc. SPIE 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 1318314 (5 July 2024); https://doi.org/10.1117/12.3033856
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KEYWORDS
Image processing

Deep learning

X-ray computed tomography

Image restoration

Computed tomography

X-rays

Calibration

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