@Article{mcb.2019.07165,
AUTHOR = {Lulu Wang},
TITLE = {Multifrequency Microwave Imaging for Brain Stroke Detection},
JOURNAL = {Molecular \& Cellular Biomechanics},
VOLUME = {17},
YEAR = {2020},
NUMBER = {1},
PAGES = {33--40},
URL = {http://www.techscience.com/mcb/v17n1/38298},
ISSN = {1556-5300},
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.},
DOI = {10.32604/mcb.2019.07165}
}