Research on Microwave Imaging Technology of Stroke Detection Based on Improved Contrast Source Inversion Algorithm

In order to improve the speed and accuracy of brain imaging, an improved contrast source inversion algorithm based on fast conjugate gradient iteration（FCG-CSI）was proposed for microwave imaging of hemorrhagic stroke. A microwave detection simulation system for cerebral apoplexy was established based on COMSOL and MATLAB software to carry out microwave imaging on the brain model. The simulation results show that FCG-CSI algorithm can effectively image blood clots in the brain, and the location error of imaging is only 0.54 cm.