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Review of microwave imaging algorithms for stroke detection

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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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Authors and Affiliations

  1. The School of Control Science and Engineering, Tiangong University, Tianjin, 300387, People’s Republic of China

    Jinzhen Liu, Liming Chen & Hui Xiong

  2. Tianjin Key Laboratory of Intelligent Control of Electrical Equipment, Tiangong University, Tianjin, 300387, People’s Republic of China

    Jinzhen Liu, Liming Chen & Hui Xiong

  3. Department of Neurosurgery, Tianjin Xiqing Hospital, Tianjin, 300380, People’s Republic of China

    Yuqing Han

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  1. Jinzhen Liu
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Liu, J., Chen, L., Xiong, H. et al. Review of microwave imaging algorithms for stroke detection. Med Biol Eng Comput 61, 2497–2510 (2023). https://doi.org/10.1007/s11517-023-02848-5

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