Microwave imaging for brain stroke detection using Born iterative method

Ireland, David, Bialkowski, Konstanty and Abbosh, Amin (2013) Microwave imaging for brain stroke detection using Born iterative method. IET Microwaves Antennas and Propagation, 7 11: 909-915. doi:10.1049/iet-map.2013.0054


Author Ireland, David
Bialkowski, Konstanty
Abbosh, Amin
Title Microwave imaging for brain stroke detection using Born iterative method
Journal name IET Microwaves Antennas and Propagation   Check publisher's open access policy
ISSN 1751-8725
1751-8733
Publication date 2013-08-01
Year available 2013
Sub-type Article (original research)
DOI 10.1049/iet-map.2013.0054
Open Access Status DOI
Volume 7
Issue 11
Start page 909
End page 915
Total pages 7
Place of publication Stevenage, Herts, United Kingdom
Publisher The Institution of Engineering and Technolog
Language eng
Abstract Microwave imaging reconstruction is applied to an anatomically realistic, numerical head phantom using the Born iterative method for detection of a haemorrhagic stroke within the brain tissues. A forward model is used to estimate back-scattered signals which are subsequently used in the image reconstruction process. Image reconstruction using excitation signals at 850 MHz is shown to produce the emulated stroke with a high contrast particular to the estimated conductivity profile.
Formatted abstract
Microwave imaging reconstruction is applied to an anatomically realistic, numerical head phantom using the Born iterative method for detection of a haemorrhagic stroke within the brain tissues. A forward model is used to estimate back-scattered signals which are subsequently used in the image reconstruction process. Image reconstruction using excitation signals at 850 MHz is shown to produce the emulated stroke with a high contrast particular to the estimated conductivity profile.
Keyword Scattering
Brain strokes
Microwave Imaging
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID DP012799
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
 
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