Bo Hou
;
Qiushui Chen
;
Luying Yi
;
Paul Sellin
;
Hong-Tao Sun
;
Liang Jie Wong
;
Xiaogang Liu
Description:
(abstract)X-ray detection is critical for numerous modern applications, including medical diagnosis, industrial inspection, security checks, scientific inquiry, and space exploration. Recent advances in materials science, electronics, manufacturing, and artificial intelligence have greatly propelled this field forward. This review examines fundamental principles and recent breakthroughs in X-ray detection and imaging technologies, with a focus on the interplay between electrical engineering techniques and X-ray-responsive materials. Two primary approaches are highlighted: semiconductor-based direct detection and scintillator-based indirect detection. These discussions encompass innovations such as photon counting detectors and heterojunction phototransistors. A key emphasis lies in elucidating the critical contributions of electrical engineering in the development of these cutting-edge detectors. This involves considerations such as chemical engineering, circuit optimization, and the implementation of image processing algorithms. Subsequent sections provide an overview of significant applications, ranging from biomedical imaging to resonant X-ray techniques for material analysis, and even nanometer-resolution circuit imaging. This review also underscores future research directions, which encompass 3D and 4D X-ray imaging sensors, multispectral X-ray imaging and artificial intelligence-assisted medical image diagnosis.
Rights:
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1038/s44287-024-00086-x
Keyword: Optical materials
Date published: 2024-08-22
Publisher: Springer Science and Business Media LLC
Journal:
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Manuscript type: Author's version (Accepted manuscript)
MDR DOI: https://doi.org/10.48505/nims.4863
First published URL: https://doi.org/10.1038/s44287-024-00086-x
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Updated at: 2025-02-23 22:51:35 +0900
Published on MDR: 2025-02-23 22:51:35 +0900
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