paper 150203012155

Published: 2015-07-09

A 16-Element Wideband Microwave Applicator for Breast Cancer Detection Using Thermoacoustic Imaging

Hao Nan,

Hao Nan

Stanford University, USA

Homepage

Amin Arbabian,

Amin Arbabian

Stanford University, USA

Homepage

Nemat Dolatsha,

Nemat Dolatsha

Stanford University, USA

Homepage

Shiyu Liu

Tsinghua University, China

Homepage

Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)243-247

Abstract

Microwave-induced thermoacoustic (TA) imaging is a hybrid technique that com- bines the high dielectric contrast of microwave imaging with the high resolution of ultrasound detection. This technique can achieve a penetration depth in excess of 5 cm, even in dispersive tissue. With all these capabilities, TA imaging is a suitable method for breast cancer screening, which requires a high contrast between cancer and benign tissues, and millimeter-level resolution. The most popular way to excite the imaging target is to employ a waveguide, which is limited in bandwidth and usually not well matched to the target for TA imaging. In this paper, a wide- band and compact microwave applicator, which can efficiently excite the tissue in the near and quasi-near field range, is designed. A 16-element conformal phased array based on the proposed applicator focuses the microwave energy and controls the location of high specific absorption rate (SAR) region by tuning the phase of array elements. This architecture increases local SAR of the focus area and directly results in a higher signal-to-noise ratio (SNR) of the target region in the reconstructed image compared to uniform excitation. Full-wave electromagnetic simulations demonstrate the ability to localize and control the high SAR region across the target in the entire bandwidth.

Citation

Hao Nan, Amin Arbabian, Nemat Dolatsha, and Shiyu Liu, "A 16-Element Wideband Microwave Applicator for Breast Cancer Detection Using Thermoacoustic Imaging," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)243-247

References

1. Ku, Geng and Lihong V. Wang, "Scanning microwave-induced thermoacoustic tomography: Signal, resolution, and contrast," Medical Physics, Vol. 28, No. 1, 4–10, January 2001.
doi:10.1118/1.1333409 Google Scholar

2. Xu, Minghua, Geng Ku, and Lihong V. Wang, "Microwave‐induced thermoacoustic tomography using multi‐sector scanning," Medical Physics, Vol. 28, No. 9, 1958–1963, September 2001.
doi:10.1118/1.1395037 Google Scholar

3. Nie, Liming, Da Xing, Quan Zhou, Diwu Yang, and Hua Guo, "Microwave‐induced thermoacoustic scanning CT for high‐contrast and noninvasive breast cancer imaging," Medical Physics, Vol. 35, No. 9, 4026–4032, August 2008.
doi:10.1118/1.2966345 Google Scholar

4. Xu, Minghua, Yuan Xu, and L.V. Wang, "Time-domain reconstruction algorithms and numerical simulations for thermoacoustic tomography in various geometries," IEEE Transactions on Biomedical Engineering, Vol. 50, No. 9, 1086–1099, September 2003.
doi:10.1109/tbme.2003.816081 Google Scholar

5. Wang, Xiong, D. R. Bauer, R. Witte, and Hao Xin, "Microwave-induced thermoacoustic imaging model for potential breast cancer detection," IEEE Transactions on Biomedical Engineering, Vol. 59, No. 10, 2782–2791, October 2012.
doi:10.1109/tbme.2012.2210218 Google Scholar

6. Bauer, Daniel R., Xiong Wang, Jeff Vollin, Hao Xin, and Russell S. Witte, "Spectroscopic thermoacoustic imaging of water and fat composition," Applied Physics Letters, Vol. 101, No. 3, July 2012.
doi:10.1063/1.4737414 Google Scholar

7. Raut, Shailesh and Aldo Petosa, "A compact printed bowtie antenna for ultra-wideband applications," 2009 European Microwave Conference (EuMC), 081–084, September 2009.
doi:10.23919/eumc.2009.5295971 Google Scholar

8. Andreuccetti, S., R. Fossi, and C. Petrucci, ``An internet resource for the calculation of the dielectric properties of body tissues in the frequency range 10 Hz–100 GHz", Website at http://niremf.ifac.cnr.it/tissprop/, IFAC-CNR, Florence, Italy, 1997, Based on data published by C. Gabriel, et al., in 1996. Google Scholar