Early breast cancer detection using Doppler frequency shift

Amin M. Abbosh (2010). Early breast cancer detection using Doppler frequency shift. In: Microwave Conference Proceedings (APMC), 2010 Asia-Pacific. Asia Pacific Microwave Conference 2010, Yokohama, Japan, (275-278). 7-10 December 2010.

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Author Amin M. Abbosh
Title of paper Early breast cancer detection using Doppler frequency shift
Conference name Asia Pacific Microwave Conference 2010
Conference location Yokohama, Japan
Conference dates 7-10 December 2010
Proceedings title Microwave Conference Proceedings (APMC), 2010 Asia-Pacific
Journal name Asia-Pacific Microwave Conference Proceedings, APMC
Place of Publication Piscatawa, NJ, U.S.A.
Publisher IEEE (Institute for Electrical and Electronic Engineers)
Publication Year 2010
Sub-type Fully published paper
ISBN 9781902339222
Start page 275
End page 278
Total pages 4
Collection year 2011
Language eng
Formatted Abstract/Summary
A theoretical model is presented to investigate the possibility of using a hybrid imaging method for early breast cancer detection. The model exploits the high contrast in elasticity between healthy and malignant tissues. It uses an acoustic excitation to cause vibrations in the different tissues of the breast depending on their elasticity. When the breast is illuminated by a microwave signal, the interaction between the vibrating tissues and the microwave signal causes a Doppler shift in frequency. Amplitude of that shift depends on the elasticity of the tissue that causes the scattering. The calculated results presented in this paper show that value of the scattering contrast between the malignant and healthy tissues is increased significantly when using the proposed method, which does mean an increase in the detection capability of the imaging system.
© 2010 IEICE Institute of Electronics Informati.
Keyword Breast cancer
Doppler shift
Electromagnetic scattering
Microwave imaging
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Fri, 04 Feb 2011, 13:20:13 EST by Dr Amin Abbosh on behalf of School of Information Technol and Elec Engineering