Open Access
ARTICLE
Multifrequency Microwave Imaging for Brain Stroke Detection
Lulu Wang1,*
1 Department of Biomedical Engineering, School of Instrument Science and Opto-electronics Engineering, Hefei University of
Technology, Hefei, 230009, China
* Corresponding Author: Lulu Wang. Email: ;
Molecular & Cellular Biomechanics 2020, 17(1), 33-40. https://doi.org/10.32604/mcb.2019.07165
Abstract
CT and MRI are often used in the diagnosis and monitoring of stroke.
However, they are expensive, time-consuming, produce ionizing radiation (CT),
and not suitable for continuous monitoring stroke. Microwave imaging (MI) has
been extensively investigated for identifying several types of human organs,
including breast, brain, lung, liver, and gastric. The authors recently developed a
holographic microwave imaging (HMI) algorithm for biological object detection.
However, this method has difficulty in providing accurate information on
embedded small inclusions. This paper describes the feasibility of the use of a
multifrequency HMI algorithm for brain stroke detection. A numerical system,
including HMI data collection model and a realistic head model, was developed to
demonstrate the proposed method for imaging of brain tissues. Various
experiments were carried out to evaluate the performance of the proposed method.
Results of experiments carried out using multifrequency HMI have been compared
with the results obtained from single frequency HMI. Results showed that
multifrequency HMI could detect strokes and provide more accurate results of size
and location than the single frequency HMI algorithm.
Keywords
Cite This Article
Wang, L. (2020). Multifrequency Microwave Imaging for Brain Stroke Detection.
Molecular & Cellular Biomechanics, 17(1), 33–40.
Citations