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Medical & Biological Engineering & Computing
Published in: Medical & Biological Engineering & Computing 10/2023

24-05-2023 | Review Article

Review of microwave imaging algorithms for stroke detection

Authors: Jinzhen Liu, Liming Chen, Hui Xiong, Yuqing Han

Published in: Medical & Biological Engineering & Computing | Issue 10/2023

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Abstract

Microwave imaging is one of the rapidly developing frontier disciplines in the field of modern medical imaging. The development of microwave imaging algorithms for reconstructing stroke images is discussed in this paper. Compared with traditional stroke detection and diagnosis techniques, microwave imaging has the advantages of low price and no ionizing radiation hazards. The research hotspots of microwave imaging algorithms in the field of stroke are mainly reflected in the design and improvement of microwave tomography, radar imaging, and deep learning imaging. However, the current research lacks the analysis and combing of microwave imaging algorithms. In this paper, the development of common microwave imaging algorithms is reviewed. The concept, research status, current research hotspots and difficulties, and future development trends of microwave imaging algorithms are systematically expounded.

Graphical Abstract

The microwave antenna is used to collect scattered signals, and a series of microwave imaging algorithms are used to reconstruct the stroke image. The classification diagram and flow chart of the algorithms are shown in this Figure. (The classification diagram and flow chart are based on the microwave imaging algorithms.)
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Metadata
Title
Review of microwave imaging algorithms for stroke detection
Authors
Jinzhen Liu
Liming Chen
Hui Xiong
Yuqing Han
Publication date
24-05-2023
Publisher
Springer Berlin Heidelberg
Published in
Medical & Biological Engineering & Computing / Issue 10/2023
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-023-02848-5

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