Review of microwave imaging algorithms for stroke detection

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.

Automated summary

This paper discusses the development of microwave imaging algorithms for reconstructing stroke images. Compared with traditional stroke detection and diagnosis techniques, microwave imaging has the advantages of low price and no ionizing radiation hazards. The current research hotspots in the field of stroke include the design and improvement of microwave tomography, radar imaging, and deep learning imaging. However, the current research lacks the analysis and integration of microwave imaging algorithms. In this paper, the development of common microwave imaging algorithms is reviewed, and the concept, research status, current research hotspots and difficulties, and future development trends of microwave imaging algorithms are systematically expounded.