AccScience Publishing / IJB / Online First / DOI: 10.36922/ijb.5102
REVIEW
Early Access

Projection algorithm and its optimizations for computed axial lithography: a review

Jian-Su Sun1,2 Di Wang3 Xue Zhang1,2 Haiyue Jiang3* Maobin Xie4* Jia-Qi Lü1,2*
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1 Center for Advanced Laser Technology, Hebei University of Technology, Tianjin, 300401, China
2 Hebei Key Laboratory of Advanced Laser Technology and Equipment, Hebei University of Technology, Tianjin, 300401, China
3 Plastic Surgery Hospital of Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100144, China
4 The Forth Affiliated Hospital of Guangzhou Medical University, School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, 511436, China
Submitted: 9 October 2024 | Accepted: 15 November 2024 | Published: 19 November 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Volumetric additive manufacturing is a novel additive manufacturing method, offering advantages such as fast printing speed and isotropic mechanical properties. As the important branch of volumetric additive manufacturing, computed axial lithography based on the azimuthal projections and rotational printing has attracted great attentions and been widely used in recent years. Here, we focus on the projection algorithms of computed axial lithography, which is critical to the printing quality including its fidelity and accuracy. Different optimization methods including iterative optimization of projection space and objective model, optimization for the optical influences of materials and the optimizations cooperating with hardware upgrade are summarized. The features and advantages of different projection optimization algorithms are also analyzed and discussed, which may promote the applications and development of volumetric additive manufacturing.

Keywords
Volumetric additive manufacturing
Computed axial lithography
Radon transform
3D bioprinting.
Funding
This work was supported by the National Natural Science Foundation of China (82371796, 82402936).
Conflict of interest
The authors declare no conflict of interest.
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International Journal of Bioprinting, Electronic ISSN: 2424-8002 Print ISSN: 2424-7723, Published by AccScience Publishing