Abstract
This paper presents the usage of a fork-shaped microstrip patch antenna for early breast tumor diagnosis based on significant contrast in dielectric properties between healthy and malignant tissue. The proposed antenna is designed with a 50Ω microstrip feed line and has compact dimensions of 24 × 28 × 1.64 mm3 in CST MWS V’18. The antenna structure has a slotted rectangular patch with a reduced ground to achieve high gain, miniaturization, and UWB characteristics. A 3D spherical breast phantom is modeled with 3 mm tumor radius and simulated using CST MWS V’18 with different dielectric properties of skin, fatty tissue, and tumor. The breast phantom is oriented parallel to the broadside radiating surface of the antenna and the backscattered signals are recorded when the phantom is illuminated by the microwave signals for with and without tumor. The simulated results show that more reflections, lesser specific absorption rate and more conduction current density is obtained in the presence of tumor as compared to a nonmalignant case thereby making the detection of the tumor in the breast feasible.
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References
Torre, L.A., Bray, F., Siegel, R.L., et al.: A Global cancer statistics. Cancer J. Clin. 65, 87–108 (2015)
Karli, R., Ammor, H.: Early detection of breast tumors using UWB microstrip antenna imaging. Microw. Opt. Technol. Lett. 58, 2101–2106 (2016)
Mettler, F.A., Upton, A.C., Kelsey, C.A., et al.: Benefits versus risks from mammography: a critical reassessment. Cancer 77, 903–909 (1996)
Gordan, P.B., Goldenberg, S.L.: Malignant breast masses detected only by ultrasound. A retrospective review. Cancer 76, 626–630 (1995)
Haran, E.F., Grobgeld, D., et al.: Critical role of spatial resolution in dynamic contrast-enhanced breast MRI. J. Magn. Reson. Imaging 13, 862–867 (2001)
Nikolova, N.K.: Microwave imaging for breast cancer. IEEE Microw. Mag. 12, 78–94 (2011)
Sill, J.M., Fear, E.C.: Tissue sensing adaptive radar for breast cancer detection-experimental investigation of simple tumor models. IEEE Trans. Microw. Theory Tech. 53, 3312–3319 (2005)
Moore, S.K.: Better breast cancer detection. IEEE Spectr. 38, 50–54 (2001)
Balanis, C.A.: Antenna Theory Analysis and Design. Wiley, Hoboken (2005)
Kaur, A., Khanna, R.: Design and development of a stacked complementary microstrip antenna with a ‘π’-shaped DGS for UWB, WLAN, WiMAX and radio astronomy wireless applications. Int. J. Microw. Wirel. Technol. 2, 1–10 (2017)
Kaur, A., Khanna, R., Kartikeyan, M.V.: A stacked sierpinski gasket fractal antenna with defected ground structure for UWB/WLAN/Radio astronomy/STM link applications. Microw. Opt. Technol. Lett. 57, 2786–2792 (2015)
Vuong, T.P., Ghiotto, A., et al.: Design and characteristics of a small U-slotted planar antenna for IR-UWB. Microw. Opt. Technol. Lett. 49, 1727–1731 (2007)
Maity, S., Gupta, B.: Accurate resonant frequency of isosceles right-angled triangular patch antenna. Microw. Opt. Technol. Lett. 55, 1306–1308 (2013)
Li, X., Bond, E., Van Veen, B., Hagness, S.: An overview of ultra-wideband microwave imaging via space-time beam forming for early-stage breast cancer detection. IEEE Antennas Propag. Mag. 47, 19–34 (2005)
Acknowledgments
The authors are thankful to University Grants Commission, New Delhi, India has provided a Fund grant of 15.8 lakhs under the major project scheme for setting up the antenna testing facility at Thapar University, Patiala.
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Kaur, A., Kaur, A. (2020). Monostatic Radar Based Ultra-Wideband Microwave Imaging System Featuring a Miniature Fork Shaped Microstrip Patch Antenna with a Reduced DGS for Early Breast Tumor Detection. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_13
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