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

Translated title of the contribution: Research on Microwave Imaging Technology of Stroke Detection Based on Improved Contrast Source Inversion Algorithm

Heng Liu
, Ruoxuan Wang^*

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Translated title of the contribution	Research on Microwave Imaging Technology of Stroke Detection Based on Improved Contrast Source Inversion Algorithm
Original language	Chinese (Traditional)
Pages (from-to)	1097-1104
Number of pages	8
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	42
Issue number	10
DOIs	https://doi.org/10.15918/j.tbit1001-0645.2021.306
Publication status	Published - Oct 2022

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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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AU - Wang, Ruoxuan

PY - 2022/10

Y1 - 2022/10

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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KW - contrast source inversion algorithm

KW - medical imaging

KW - microwave detection technology

UR - https://www.scopus.com/pages/publications/85140260249

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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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