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Numerical and experimental analysis of a transmission-based breast imaging system: a study of application to patients

Published online by Cambridge University Press:  07 April 2020

Elham Norouzzadeh ,
Somayyeh Chamaani Open the ORCID record for Somayyeh Chamaani [Opens in a new window] ,
Jochen Moll Open the ORCID record for Jochen Moll [Opens in a new window] ,
Christian Kexel ,
Duy Hai Nguyen Open the ORCID record for Duy Hai Nguyen [Opens in a new window] ,
Frank Hübner ,
Babak Bazrafshan ,
Thomas J. Vogl  and
Viktor Krozer
Elham Norouzzadeh
Affiliation:
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Somayyeh Chamaani*
Affiliation:
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Jochen Moll
Affiliation:
Department of Physics, Goethe University of Frankfurt, Frankfurt am Main60438, Germany
Christian Kexel
Affiliation:
Department of Physics, Goethe University of Frankfurt, Frankfurt am Main60438, Germany
Duy Hai Nguyen
Affiliation:
Department of Physics, Goethe University of Frankfurt, Frankfurt am Main60438, Germany
Frank Hübner
Affiliation:
Institute for Diagnostic and Interventional Radiology, Goethe University Hospital Frankfurt am Main, Frankfurt am Main, Germany
Babak Bazrafshan
Affiliation:
Institute for Diagnostic and Interventional Radiology, Goethe University Hospital Frankfurt am Main, Frankfurt am Main, Germany
Thomas J. Vogl
Affiliation:
Institute for Diagnostic and Interventional Radiology, Goethe University Hospital Frankfurt am Main, Frankfurt am Main, Germany
Viktor Krozer
Affiliation:
Department of Physics, Goethe University of Frankfurt, Frankfurt am Main60438, Germany
*
Author for correspondence: Somayyeh Chamaani, E-mail: chamaani@eetd.kntu.ac.ir
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Abstract

Early detection of breast cancer is required to increase the chances of a successful treatment. However, current breast-imaging systems such as X-Ray mammography, breast ultrasound, and magnetic resonance imaging have technological limitations so that novel solutions are needed to address this major societal problem. The current paper considers ultra-wideband (UWB) microwave radiation in the frequency band from 1 to 9 GHz. Given by the non-ionizing nature of microwaves frequent check-ups are more feasible. In this work, we propose algorithms for qualitative and quantitative microwave breast imaging for a transmission-based UWB system. Based on numerical and experimental data, the performance of the algorithms has been investigated and compared. Finally, microwave images obtained during an initial patient study are discussed relative to corresponding X-ray images.

Keywords

Microwave imagingimage reconstructionUWB diagnosticspatient study
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 12 , Special Issue 6: EuCAP 2019 Special Issue , July 2020 , pp. 469 - 476
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Copyright
Copyright © Cambridge University Press and the European Microwave Association 2020

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References

Foroozan, F, HosseinKhah, N and Adve, R (2018) Coherent time reversal sub-array processing for microwave breast imaging. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary TELUS Convention Centre, Calgary, Canada, pp. 3374–3378.CrossRefGoogle Scholar
Mukherjee, S, Udpa, L, Udpa, S, Rothwell, EJ and Deng, Y (2019) A time reversal-based microwave imaging system for detection of breast tumors. IEEE Transactions on Microwave Theory and Techniques 67, 2062–2075.CrossRefGoogle Scholar
Abdollahi, N, LoVetri, J and Jeffrey, I (2019) A combined algorithm for high resolution microwave breast imaging using eigenfunction-based prior. 2019 13th European Conference on Antennas and Propagation (EuCAP), ICE Krakow Congress Centre, Krakow, Poland, pp. 1–3.Google Scholar
Wang, L (2019) Multi-frequency holographic microwave imaging for breast lesion detection. IEEE Access 7, 83984–83993.CrossRefGoogle Scholar
Tajik, D, Trac, J and Nikolova, NK (2019) Spatial resolution evaluation of a microwave system for breast cancer screening. 2019 13th European Conference on Antennas and Propagation (EuCAP), ICE Krakow Congress Centre, Krakow, Poland, pp. 1–5.Google Scholar
Islam, MT, Ullah, MA, Alam, T, Singh, MJ and Cho, M (2018) Microwave imaging sensor using low profile modified stacked type planar inverted F antenna. Sensors 18, 2949. [Online]. Available: https://www.mdpi.com/1424-8220/18/9/2949CrossRefGoogle ScholarPubMed
Wang, L (2018) Microwave sensors for breast cancer detection. Sensors 18, 655. [Online]. Available: https://www.mdpi.com/1424-8220/18/2/655CrossRefGoogle ScholarPubMed
Wang, L and Xu, J (2019) A new wideband microwave antenna for breast cancer detection. American Society of Mechanical Engineers Digital Collection [Online]. Available: https://asmedigitalcollection.asme.org/IMECE/proceedings/IMECE2018/52026/V003T04A040/273675Google Scholar
Islam, MT, Samsuzzaman, M, Islam, MT, Kibria, S and Singh, MJ (2018) A homogeneous breast phantom measurement system with an improved modified microwave imaging antenna sensor. Sensors 18, 2962. [Online]. Available: https://www.mdpi.com/1424-8220/18/9/2962CrossRefGoogle ScholarPubMed
Duchesne, L, Fasoula, A, Kaverine, E, Robin, G and Bernard, J (2019) Wavelia microwave breast imaging: identification and mitigation of possible sources of measurement uncertainty. 2019 13th European Conference on Antennas and Propagation (EuCAP), ICE Krakow Congress Centre, Krakow, Poland, pp. 1–5.Google Scholar
Felicio, JM, Bioucas-Dias, JM, Costa, JR and Fernandes, CA (2019) Microwave breast imaging using a dry setup. IEEE Transactions on Computational Imaging 6, 167–168.CrossRefGoogle Scholar
Vispa, A, Sani, L, Paoli, M, Bigotti, A, Raspa, G, Ghavami, N, Caschera, S, Ghavami, M, Duranti, M and Tiberi, G (2019) UWB device for breast microwave imaging: phantom and clinical validations. Measurement 146, 582–589. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0263224119306116CrossRefGoogle Scholar
Wang, F (2019) Wearable and Portable Radio Frequency Devices for Medical Microwave Imaging (Ph.D. dissertation). The University of Edinburgh. [Online]. Available: https://www.era.lib.ed.ac.uk/handle/1842/35500Google Scholar
Malvezzi, M, Carioli, G, Bertuccio, P, Boffetta, P, Levi, F, La Vecchia, C and Negri, E (2018) European cancer mortality predictions for the year 2018 with focus on colorectal cancer. Annals of Oncology 29, 1016–1022.10.1093/annonc/mdy033CrossRefGoogle ScholarPubMed
Garcia-Uribe, A, Erpelding, TN, Krumholz, A, Ke, H, Maslov, K, Appleton, C, Margenthaler, JA and Wang, LV (2015) Dual-modality photoacoustic and ultrasound imaging system for noninvasive sentinel lymph node detection in patients with breast cancer. Scientific Reports 5, 15748.CrossRefGoogle ScholarPubMed
Fakhrejahani, E, Torii, M, Kitai, T, Kanao, S, Asao, Y, Hashizume, Y, Mikami, Y, Yamaga, I, Kataoka, M, Sugie, T, Takada, M, Haga, H, Togashi, K, Shiina, T and Toi, M (2015) Clinical report on the first prototype of a photoacoustic tomography system with dual illumination for breast cancer imaging. PLoS ONE 10, e0139113. [Online]. Available: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0139113CrossRefGoogle ScholarPubMed
Diot, G, Metz, S, Noske, A, Liapis, E, Schroeder, B, Ovsepian, SV, Meier, R, Rummeny, EJ and Ntziachristos, V (2017) Multi-spectral optoacoustic tomography (MSOT) of human breast cancer. Clinical Cancer Research clincanres.3200.2016. [Online]. Available: http://clincancerres.aacrjournals.org/content/early/2017/09/12/1078-0432.CCR-16-3200CrossRefGoogle Scholar
Ozmen, N, Dapp, R, Zapf, M, Gemmeke, H, Ruiter, NV and van Dongen, KWA (2015) Comparing different ultrasound imaging methods for breast cancer detection. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 62, 637–646.CrossRefGoogle ScholarPubMed
Chandra, R, Zhou, H, Balasingham, I and Narayanan, RM (2015) On the opportunities and challenges in microwave medical sensing and imaging. IEEE Transactions on Biomedical Engineering 62, 1667–1682.CrossRefGoogle ScholarPubMed
Meo, SD, Espín-López, PF, Martellosio, A, Pasian, M, Matrone, G, Bozzi, M, Magenes, G, Mazzanti, A, Perregrini, L, Svelto, F, Summers, PE, Renne, G, Preda, L and Bellomi, M (2017) On the feasibility of breast cancer imaging systems at millimeter-waves frequencies. IEEE Transactions on Microwave Theory and Techniques 65, 1795–1806.CrossRefGoogle Scholar
Modiri, A, Goudreau, S, Rahimi, A and Kiasaleh, K (2017) Review of breast screening: toward clinical realization of microwave imaging. Medical Physics 44, e446–e458.10.1002/mp.12611CrossRefGoogle ScholarPubMed
Oliveira, BL, O'Loughlin, D, O'Halloran, M, Porter, E, Glavin, M and Jones, E (2018) Microwave breast imaging: experimental tumour phantoms for the evaluation of new breast cancer diagnosis systems. Biomedical Physics & Engineering Express 4, 025036. [Online]. Available: http://stacks.iop.org/2057-1976/4/i=2/a=025036CrossRefGoogle Scholar
O'Loughlin, D, O'Halloran, MJ, Moloney, BM, Glavin, M, Jones, E and Elahi, MA (2018) Microwave breast imaging: clinical advances and remaining challenges. IEEE Transactions on Biomedical Engineering 65, 2580–2590.CrossRefGoogle ScholarPubMed
Wörtge, D, Moll, J, Krozer, V, Bazrafshan, B, Hübner, F, Park, C and Vogl, TJ (2018) Comparison of X-ray-mammography and planar UWB microwave imaging of the breast: first results from a patient study. Diagnostics [Online]. Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164229/CrossRefGoogle ScholarPubMed
Prati, M, Moll, J, Kexel, C, Nguyen, D, Santra, A, Aliverti, A, Krozer, V and Issakov, V (2020) Breast cancer imaging using a 24 GHz ultra-wideband MIMO FMCW radar: System considerations and first imaging results. 14th European Conference on Antennas and Propagation (EuCAP 2020), (accepted in December 2019).CrossRefGoogle Scholar
Kwon, S and Lee, S (2016) Recent advances in microwave imaging for breast cancer detection. International Journal of Biomedical Imaging 2016, 1–26. [Online]. Available: https://www.hindawi.com/journals/ijbi/2016/5054912/ 10.1155/2016/5054912CrossRefGoogle ScholarPubMed
Moll, J, Kelly, T, Byrne, D, Sarafianou, M, Krozer, V and Craddock, I (2014) Microwave radar imaging of heterogeneous breast tissue integrating a-priori information. International Journal of Biomedical Imaging 2014, Article ID 94354910.CrossRefGoogle ScholarPubMed
Lazebnik, M, Popovic, D, McCartney, L, Watkins, CB, Lindstrom, MJ, Harter, J, Sewall, S, Ogilvie, T, Magliocco, A, Breslin, TM, Temple, W, Mew, D, Booske, JH, Okoniewski, M and Hagness, SC (2007) A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries. Physics in Medicine and Biology 52, 6093–6115.CrossRefGoogle ScholarPubMed
Elahi, MA (2018) Confocal microwave imaging and artifact removal algorithms for the early detection of breast cancer. Thesis, NUI Galway, March. [Online]. Available: https://aran.library.nuigalway.ie/handle/10379/7290Google Scholar
Sun, YP, Zhang, S, Cui, Z and Qu, LL (2016) CS based confocal microwave imaging algorithm for breast cancer detection. Technology and Health Care 24, S757–S765. [Online]. Available: https://content.iospress.com/articles/technology-and-health-care/thc1205 10.3233/THC-161205CrossRefGoogle ScholarPubMed
Moll, J, Kexel, C and Krozer, V (2013) A comparison of beamforming methods for microwave breast cancer detection in homogeneous and heterogeneous tissue. 10th European Radar Conference (EuRAD), Utrecht, Netherlands, pp. 527–530.Google Scholar
Hossain, MD and Mohan, AS (2017) Cancer detection in highly dense breasts using coherently focused time-reversal microwave imaging. IEEE Transactions on Computational Imaging 3, 928–939.CrossRefGoogle Scholar
Yousefnia, M, Zadeh, AE, Dehmollaian, M and Madannejad, A (2018) A time-reversal imaging system for breast screening: theory and initial phantom results. IEEE Transactions on Biomedical Engineering 65, 2542–2551.CrossRefGoogle ScholarPubMed
Bond, EJ, Li, X, Hagness, SC and Veen, BDV (2003) Microwave imaging via space-time beamforming for early detection of breast cancer. IEEE Transactions on Antennas and Propagation 51, 1690–1705.CrossRefGoogle Scholar
Martellosio, A, Pasian, M, Bozzi, M, Perregrini, L, Mazzanti, A, Svelto, F, Summers, PE, Renne, G, Preda, L and Bellomi, M (2017) Dielectric properties characterization from 0.5 to 50 GHz of breast cancer tissues. IEEE Transactions on Microwave Theory and Techniques 65, 998–1011.CrossRefGoogle Scholar
Bourqui, J and Fear, EC (2016) System for bulk dielectric permittivity estimation of breast tissues at microwave frequencies. IEEE Transactions on Microwave Theory and Techniques 64, 3001–3009.CrossRefGoogle Scholar
Wörtge, D, Moll, J, Mälzer, M, Krozer, V, Hübner, F, Bazrafshan, B, Vogl, TJ, Santarelli, A, Popović, M and Nikolova, N (2018) Prototype system for microwave breast imaging: experimental results from tissue phantoms. 2018 11th German Microwave Conference (GeMiC), Freiburg, Germany, pp. 399–402.CrossRefGoogle Scholar
Moll, J, McCombe, J, Hislop, G, Krozer, V and Nikolova, N (2015) Towards integrated measurements of dielectric tissue properties at microwave frequencies. 2015 9th European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal, pp. 1–5.Google Scholar
Çayören, M, Abbak, M and Akduman, İ (2014) Microwave breast phantom measurements with a cavity-backed Vivaldi antenna. IET Microwaves, Antennas & Propagation 8, 1127–1133.Google Scholar
Ley, S, Helbig, M and Sachs, J (2015) Preliminary investigations of magnetic modulated nanoparticles for microwave breast cancer detection. Current Directions in Biomedical Engineering, Current Directions Biomed. Eng., 1(1), 302–305.CrossRefGoogle Scholar
Gibbins, D, Klemm, M, Craddock, I, Leendertz, J, Preece, A and Benjamin, R (2010) A comparison of a wide-slot and a stacked patch antenna for the purpose of breast cancer detection. IEEE Transactions on Antennas and Propagation 58, 665–674.CrossRefGoogle Scholar
Schwarz, U, Stephan, R and Hein, MA (2010) Miniature double-ridged horn antennas composed of solid high-permittivity sintered ceramics for biomedical ultra-wideband radar applications. 2010 IEEE Antennas and Propagation Society International Symposium, July. Toronto, ON: IEEE, pp. 1–4.CrossRefGoogle Scholar
Systemes, D, CST Studio Suite 2019. https://www.3ds.com/, 2002–2020.Google Scholar
Moll, J, McCombe, J, Hislop, G, Krozer, V and Nikolova, N (2015) Towards integrated measurements of dielectric tissue properties at microwave frequencies. 2015 9th European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal, pp. 1–5.Google Scholar
Eccostock HiK 500F – High Temperature, Low Loss, Adjusted Dielectric Plastic, Emerson & Cuming Microwave Products, 2014.Google Scholar
Martellosio, A, Pasian, M, Bozzi, M, Perregrini, L, Mazzanti, A, Svelto, F, Summers, PE, Renne, G, Preda, L and Bellomi, M (2017) Dielectric properties characterization from 0.5 to 50 GHz of breast cancer tissues. IEEE Transactions on Microwave Theory and Techniques 65, 998–1011.CrossRefGoogle Scholar
Goram, S, Moll, J, Wörtge, D, Krozer, V, Hübner, F, Bazrafshan, B and Vogl, T, (2018) Clinical investigation of breast biopsies: concurrent UWB microwave spectroscopy and ultrasound measurements. 12th European Conference on Antennas and Propagation, London, UK, pp. 1–5.CrossRefGoogle Scholar