基于改进对比源反演算法的脑卒中微波检测成像技术研究

Heng Liu; Ruoxuan Wang

doi:10.15918/j.tbit1001-0645.2021.306

基于改进对比源反演算法的脑卒中微波检测成像技术研究

Heng Liu, Ruoxuan Wang^*

^*此作品的通讯作者

信息与电子学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

投稿的翻译标题	Research on Microwave Imaging Technology of Stroke Detection Based on Improved Contrast Source Inversion Algorithm
源语言	繁体中文
页（从-至）	1097-1104
页数	8
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	42
期	10
DOI	https://doi.org/10.15918/j.tbit1001-0645.2021.306
出版状态	已出版 - 10月 2022

关键词

cerebral stroke
contrast source inversion algorithm
medical imaging
microwave detection technology

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abstract = "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.",

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N2 - 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.

AB - 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.

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基于改进对比源反演算法的脑卒中微波检测成像技术研究

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