Enhanced breast tumor localization with DRA antenna backscattering and GPR algorithm in microwave imaging

With the rapid rate of increasing breast cancer cases across the globe and restrictions of existing early stage detection techniques, microwave imaging based cancer and malignant cell diagnosing methodology is finding its way. Microwave imaging technology has higher accuracy of detection in the vari...

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Main Authors: Anupma Gupta, Sachin Kumar Yadav, Anand Deva Durai C, Vipan Kuamr, Mohammed H. Alsharif, Peerapong Uthansakul, Monthippa Uthansakul
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024012994
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author Anupma Gupta
Sachin Kumar Yadav
Anand Deva Durai C
Vipan Kuamr
Mohammed H. Alsharif
Peerapong Uthansakul
Monthippa Uthansakul
author_facet Anupma Gupta
Sachin Kumar Yadav
Anand Deva Durai C
Vipan Kuamr
Mohammed H. Alsharif
Peerapong Uthansakul
Monthippa Uthansakul
author_sort Anupma Gupta
collection DOAJ
description With the rapid rate of increasing breast cancer cases across the globe and restrictions of existing early stage detection techniques, microwave imaging based cancer and malignant cell diagnosing methodology is finding its way. Microwave imaging technology has higher accuracy of detection in the variation of tissue properties. In this article, a dielectric resonator based wide band antenna is designed and investigated for microwave imaging (MWI) of early breast cancer detection due to its improved accuracy. The designed antenna has compact size, broad frequency spectrum, high gain and broadside radiation characteristics. To attain the wider bandwidth from (6.5 GHz–12.5 GHz), two rectangular shaped dielectric slabs are used. Wide band microwave frequency band supports the high resolution images. A C-shaped defected ground structure is used to tune the impedance matching. Dielectric resonator based antenna has higher gain and reduces the squints in antenna impedance. Two-asymmetrical dielectric slabs contribute in the excitation of different resonating modes which in turn enhance the bandwidth. It also contributes to excite multiple resonance mode that in turn enhance the bandwidth. Antenna performance is first numerically and experimentally verified in free space. Then, simulation based performance is examined for the microwave imaging. Numerical phantom with equivalent tissue properties is designed with and without the tumor. Unhealthy cells have higher water percentage and larger dielectric constant as compared to healthy cells. It causes the different in the back scattered signal of antenna, which is analyzed to diagnose the tumor or cancer. Here, a maximum deviation of 16 dB is observed in the backscattered signal. Furthermore, surface of the breast tissue is scanned along the x-axis and y-axis at different angels. The collected signals are used to reconstruct the microwave image of the interior. Mean value data of backscattered signals is used to locate the existence of unhealthy cells and GPR algorithm is used to calculate the depth of a 4 mm tumor in breast tissue. Proposed structure has shown efficient performance for microwave imaging.
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institution Kabale University
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publishDate 2024-12-01
publisher Elsevier
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spelling doaj-art-a53461f0b7f84e3e8b32ff81ea4882dc2024-12-19T10:57:55ZengElsevierResults in Engineering2590-12302024-12-0124103044Enhanced breast tumor localization with DRA antenna backscattering and GPR algorithm in microwave imagingAnupma Gupta0Sachin Kumar Yadav1Anand Deva Durai C2Vipan Kuamr3Mohammed H. Alsharif4Peerapong Uthansakul5Monthippa Uthansakul6Department of Interdisciplinary Courses in Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, 602105, Chennai, Tamilnadu, IndiaDepartment of Computer Engineering & Applications, GLA University, Mathura, IndiaDepartment of Computer Science, King Khalid University, Alfaraa, Abha, Saudi ArabiaDepartment of ECE, Sri Sai College of Engineering and Technology, Badhani, Pathankot, IndiaDepartment of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul, 05006, Republic of Korea; Corresponding author.School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand; Corresponding author.School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, ThailandWith the rapid rate of increasing breast cancer cases across the globe and restrictions of existing early stage detection techniques, microwave imaging based cancer and malignant cell diagnosing methodology is finding its way. Microwave imaging technology has higher accuracy of detection in the variation of tissue properties. In this article, a dielectric resonator based wide band antenna is designed and investigated for microwave imaging (MWI) of early breast cancer detection due to its improved accuracy. The designed antenna has compact size, broad frequency spectrum, high gain and broadside radiation characteristics. To attain the wider bandwidth from (6.5 GHz–12.5 GHz), two rectangular shaped dielectric slabs are used. Wide band microwave frequency band supports the high resolution images. A C-shaped defected ground structure is used to tune the impedance matching. Dielectric resonator based antenna has higher gain and reduces the squints in antenna impedance. Two-asymmetrical dielectric slabs contribute in the excitation of different resonating modes which in turn enhance the bandwidth. It also contributes to excite multiple resonance mode that in turn enhance the bandwidth. Antenna performance is first numerically and experimentally verified in free space. Then, simulation based performance is examined for the microwave imaging. Numerical phantom with equivalent tissue properties is designed with and without the tumor. Unhealthy cells have higher water percentage and larger dielectric constant as compared to healthy cells. It causes the different in the back scattered signal of antenna, which is analyzed to diagnose the tumor or cancer. Here, a maximum deviation of 16 dB is observed in the backscattered signal. Furthermore, surface of the breast tissue is scanned along the x-axis and y-axis at different angels. The collected signals are used to reconstruct the microwave image of the interior. Mean value data of backscattered signals is used to locate the existence of unhealthy cells and GPR algorithm is used to calculate the depth of a 4 mm tumor in breast tissue. Proposed structure has shown efficient performance for microwave imaging.http://www.sciencedirect.com/science/article/pii/S2590123024012994Microwave imagingWidebandDielectric resonatorGPR algorithmBreast tumour detectionMean value
spellingShingle Anupma Gupta
Sachin Kumar Yadav
Anand Deva Durai C
Vipan Kuamr
Mohammed H. Alsharif
Peerapong Uthansakul
Monthippa Uthansakul
Enhanced breast tumor localization with DRA antenna backscattering and GPR algorithm in microwave imaging
Results in Engineering
Microwave imaging
Wideband
Dielectric resonator
GPR algorithm
Breast tumour detection
Mean value
title Enhanced breast tumor localization with DRA antenna backscattering and GPR algorithm in microwave imaging
title_full Enhanced breast tumor localization with DRA antenna backscattering and GPR algorithm in microwave imaging
title_fullStr Enhanced breast tumor localization with DRA antenna backscattering and GPR algorithm in microwave imaging
title_full_unstemmed Enhanced breast tumor localization with DRA antenna backscattering and GPR algorithm in microwave imaging
title_short Enhanced breast tumor localization with DRA antenna backscattering and GPR algorithm in microwave imaging
title_sort enhanced breast tumor localization with dra antenna backscattering and gpr algorithm in microwave imaging
topic Microwave imaging
Wideband
Dielectric resonator
GPR algorithm
Breast tumour detection
Mean value
url http://www.sciencedirect.com/science/article/pii/S2590123024012994
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