GET THE APP

Tissues permittivity imaging: Near-field microwave tomographic image for breast tumor visualization
..

Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Tissues permittivity imaging: Near-field microwave tomographic image for breast tumor visualization


2nd International Summit on Integrative Biology

August 04-05, 2014 Hilton-Chicago/Northbrook, Chicago, USA

Meng Yao, Zhi-fu Tao, Yizhou Yao, Blair Fleet, Jinyao Yan, Erik D Goodman and John R Deller

Accepted Abstracts: J Comput Sci Syst Biol

Abstract :

Different breast tissue with different dielectric properties, especially for the Permittivity of cancerous tissue is much higher than that of normal tissue. On the high dielectric constant of cancerous tissue boundary, in which it will be generated the microwave backscattering phenomena. Breast tumor microwave sensor system BRATUMASS obtains the maximum reflection wave signals of breast tumor through the method of slot step frequency modulate system which uses on image radar system Similar to the frequency modulation interrupted continuous-wave system. In mammo-sounding space, microwave propagation path between transmit wave and reflected wave can be calculated by frequency property parameters output from down converter with zero intermediate frequency signal. Dielectric properties of relevant breast tissue are inverted by energy distribution of the frequency output with zero intermediate frequency signals. We use Fourier diffraction and sagittal iterative reconstruction algorithm to reconstruct microwave tomographic image and determine the location of tumor. And confirm the feasibility of breast tumor microwave sensor system by medical clinical cases experiment.

Google Scholar citation report
Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

Journal of Computer Science & Systems Biology peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward