Study on Ultra-wideband Multiple Differential Recursive Imaging of stroke A recursive brain imaging solution for stroke detection

被引:1
作者
Zhang, Zekun [1 ]
Liu, Heng [1 ]
机构
[1] Beijing Inst Technol, Beijing, Peoples R China
来源
2020 7TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS RESEARCH AND APPLICATIONS, ICBRA 2020 | 2020年
基金
中国国家自然科学基金;
关键词
UWB; stroke imaging; reflection elimination; microwave imaging; iterative microwave tomographic imaging;
D O I
10.1145/3440067.3440074
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In stroke detection using ultra-wideband tomography, the structure of the skull and its reflection have always been a major factor affecting brain imaging accuracy. In this paper, we propose the Multiple Differential Recursive Imaging solution to eliminate the reflection by performing several forward problem analyses. The system is designed for operation at a single frequency of 1 GHz, and a 2-dimensional head model is developed for experimental analyzes. By experimental verification, the MDRI has a stable imaging capability on different bleeding sizes and numbers, and the images are properly reconstructed.
引用
收藏
页码:34 / 38
页数:5
相关论文
共 11 条
[1]  
Bisio I, 2016, IEEE CONF IMAGING SY, P330, DOI 10.1109/IST.2016.7738246
[2]   Brain Stroke Microwave Imaging by Means of a Newton-Conjugate-Gradient Method in Lp Banach Spaces [J].
Bisio, Igor ;
Estatico, Claudio ;
Fedeli, Alessandro ;
Lavagetto, Fabio ;
Pastorino, Matteo ;
Randazzo, Andrea ;
Sciarrone, Andrea .
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2018, 66 (08) :3668-3682
[3]   A numerical study concerning brain stroke detection by microwave imaging systems [J].
Bisio, Igor ;
Fedeli, Alessandro ;
Lavagetto, Fabio ;
Pastorino, Matteo ;
Randazzo, Andrea ;
Sciarrone, Andrea ;
Tavanti, Emanuele .
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (08) :9341-9363
[4]   Detection of Simulated Brain Strokes Using Microwave Tomography [J].
Coli, Vanna Lisa ;
Tournier, Pierre-Henri ;
Dolean, Victorita ;
El Kanfoud, Ibtissam ;
Pichot, Christian ;
Migliaccio, Claire ;
Blanc-Feraud, Laure .
IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY, 2019, 3 (04) :254-260
[5]   A feasibility study of elastography based confocal microwave imaging technique for breast cancer detection [J].
Ji, Jinzu ;
Tong, Kin-Fai ;
Al-Armaghany, Allann ;
Leung, Terence S. .
OPTIK, 2017, 144 :108-114
[6]   A confocal microwave imaging algorithm for breast cancer detection [J].
Li, X ;
Hagness, SC .
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2001, 11 (03) :130-132
[7]  
Mohammadi B. B., 2012, 2012 20th Iranian Conference on Electrical Engineering (ICEE 2012), P1, DOI 10.1109/IranianCEE.2012.6292311
[8]  
Mohammed B. J., 2011, Proceedings of the 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), P17, DOI 10.1109/ISSNIP.2011.6146567
[9]   Microwave System for Head Imaging [J].
Mohammed, Beada'a J. ;
Abbosh, Amin M. ;
Mustafa, Samah ;
Ireland, David .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2014, 63 (01) :117-123
[10]   UWB radars in medicine [J].
Staderini, EM .
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2002, 17 (01) :13-18