Title :
Microwave-Induced Thermoacoustic Imaging Model for Potential Breast Cancer Detection
Author :
Xiong Wang ; Bauer, D.R. ; Witte, R. ; Hao Xin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ, USA
Abstract :
In this study, we develop a complete microwave-induced thermoacoustic imaging (TAI) model for potential breast cancer imaging application. Acoustic pressures generated by different breast tissue targets are investigated by finite-difference time-domain simulations of the entire TAI process including the feeding antenna, matching mechanism, fluidic environment, 3-D breast model, and acoustic transducer. Simulation results achieve quantitative relationships between the input microwave peak power and the resulting specific absorption rate as well as the output acoustic pressure. Microwave frequency dependence of the acoustic signals due to different breast tissues is established across a broadband frequency range (2.3-12 GHz), suggesting key advantages of spectroscopic TAI compare to TAI at a single frequency. Reconstructed thermoacoustic images are consistent with the modeling results. This model will contribute to design, optimization, and safety evaluation of microwave-induced TAI and spectroscopy.
Keywords :
acoustic imaging; acoustic transducer arrays; cancer; finite difference time-domain analysis; image reconstruction; mammography; medical image processing; microwave imaging; microwave spectra; optimisation; thermoacoustics; 3-D breast model; acoustic pressure generation; acoustic signals; acoustic transducer; breast cancer detection; breast tissue targets; feeding antenna; finite-difference time-domain simulations; fluidic environment; frequency 2.3 GHz to 12 GHz; input microwave peak power; matching mechanism; microwave frequency dependence; microwave spectroscopy; microwave-induced thermoacoustic imaging model; optimization; output acoustic pressure; safety evaluation; specific absorption rate; thermoacoustic image reconstruction; Acoustics; Breast tissue; Dielectrics; Finite difference methods; Microwave imaging; Microwave theory and techniques; Breast cancer detection; microwave spectroscopy; safety evaluation; thermoacoustic imaging (TAI); Breast; Breast Neoplasms; Computer Simulation; Electromagnetic Radiation; Female; Humans; Microwaves; Models, Biological; Photoacoustic Techniques; Pressure;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2012.2210218