Design and Validation of a Microwave Breast Imaging Prototype
Received: 19 December 2025 | Revised: 6 January 2026 and 26 January 2026 | Accepted: 29 January 2026 | Online: 4 April 2026
Corresponding author: Samiya Qanoune
Abstract
Breast cancer detection remains a global health priority, as early and accurate identification can significantly improve clinical outcomes by reducing diagnosis time and enabling timely intervention. Yet many diagnostic methods remain costly, complex, or harmful. In this work, we present an improved microwave imaging system for early breast cancer detection, as it is a non-ionizing method, safe for repeated use, and cost-effective. Our system employs two independent Hyperfrequency (HF) sources configured as transmit and receive units, interconnected through an Arduino-controlled Radio Frequency (RF) switching network built around HMC321ALP4E microwave switches, with Vivaldi antennas arranged in a custom 3D-printed support for flexible positioning. The proposed architecture enhances signal routing, reduces complexity, and supports multi-antenna configurations without manual intervention. The resulting microwave images of the breast phantoms reveal clear phase contrasts, enabling precise tumor localization, with a simple, fast, non-invasive, and non-ionizing system suitable for cost-effective breast cancer screening.
Keywords:
Arduino-controlled RF system, breast cancer detection, microwave imaging, Vivaldi antennaDownloads
References
C. H. Lee et al., "Breast Cancer Screening With Imaging: Recommendations From the Society of Breast Imaging and the ACR on the Use of Mammography, Breast MRI, Breast Ultrasound, and Other Technologies for the Detection of Clinically Occult Breast Cancer," Journal of the American College of Radiology, vol. 7, no. 1, pp. 18–27, Jan. 2010. DOI: https://doi.org/10.1016/j.jacr.2009.09.022
N. AlSawaftah, S. El-Abed, S. Dhou, and A. Zakaria, "Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions," Journal of Imaging, vol. 8, no. 5, Apr. 2022, Art. no. 123. DOI: https://doi.org/10.3390/jimaging8050123
E. C. Fear, S. C. Hagness, P. M. Meaney, M. Okoniewski, and M. A. Stuchly, "Enhancing breast tumor detection with near-field imaging," IEEE Microwave Magazine, vol. 3, no. 1, pp. 48–56, Mar. 2002. DOI: https://doi.org/10.1109/6668.990683
X. Li, E. J. Bond, B. D. Van Veen, and S. C. Hagness, "An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection," IEEE Antennas and Propagation Magazine, vol. 47, no. 1, pp. 19–34, Feb. 2005. DOI: https://doi.org/10.1109/MAP.2005.1436217
M. A. Aldhaeebi, K. Alzoubi, T. S. Almoneef, S. M. Bamatraf, H. Attia, and O. M. Ramahi, "Review of Microwaves Techniques for Breast Cancer Detection," Sensors, vol. 20, no. 8, Apr. 2020, Art. no. 2390. DOI: https://doi.org/10.3390/s20082390
M. A. Amanaf, E. Setijadi, A. Mauludiyanto, and F. S. Akbar, "Design of a Low Mutual Coupling Antenna in a Circular Array Using EBG for Breast Tumor Detection," Engineering, Technology & Applied Science Research, vol. 15, no. 6, pp. 30277–30282, Dec. 2025. DOI: https://doi.org/10.48084/etasr.13621
"HMC321ALP4E GaAs MMIC SP8T Non-Reflective Positive Control Switch Data Sheet." Analog Devices. https://www.analog.com/en/products/hmc321a.html?utm_source=chatgpt.com.
"Arduino Uno Rev3." Arduino Official Store. https://store.arduino.cc/products/arduino-uno-rev3.
S. N. Ndete, F. M. Manene, and R. M. Maina, "Design and Analysis of a Miniaturized-Metamaterial-Based Monopole Antenna for Ultra-Wide Band Wireless Communication System Using Machine Learning," Engineering, Technology & Applied Science Research, vol. 15, no. 4, pp. 24125–24133, Aug. 2025. DOI: https://doi.org/10.48084/etasr.10710
C. Caloz and T. Itoh, Electromagnetic Metamaterials: Transmission Line Theory and Microwave Applications: The Engineering Approach, 1st ed. Hoboken, NJ, USA: Wiley, 2005. DOI: https://doi.org/10.1002/0471754323
G. Ruvio et al., "Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging," Sensors, vol. 20, no. 8, Apr. 2020, Art. no. 2400. DOI: https://doi.org/10.3390/s20082400
R. Scapaticci, P. Kosmas, and L. Crocco, "Wavelet-Based Regularization for Robust Microwave Imaging in Medical Applications," IEEE Transactions on Biomedical Engineering, vol. 62, no. 4, pp. 1195–1202, Apr. 2015. DOI: https://doi.org/10.1109/TBME.2014.2381270
V. S. Bhadouria, Z. Akhter, M. J. Akhtar, and P. Munshi, "Automated microwave monitoring of hidden objects for strategic and security applications," Journal of Electromagnetic Waves and Applications, vol. 35, no. 18, pp. 2492–2509, Dec. 2021. DOI: https://doi.org/10.1080/09205071.2021.1953404
O. Zaatar, A. Zakaria, and N. Qaddoumi, "A Novel Switch for Microwave Imaging Systems," IEEE Access, vol. 12, pp. 26978–26990, 2024. DOI: https://doi.org/10.1109/ACCESS.2024.3367355
Y. D. Garcia-Medina, M. Reyes, P. A. Hernandez-Diaz, B. Gonzalez-Yebra, E. Gutierrez-Herrera, and M. Alfaro-Gomez, "Low-cost LED UV source with power and wavelength variable emission," in Proceedings of SPIE: Light-Emitting Devices, Materials, and Applications XXVI, San Francisco, CA, USA, 2022, pp. 211–215. DOI: https://doi.org/10.1117/12.2608877
M. Slimi, B. Jmai, H. Dinis, A. Gharsallah, and P. M. Mendes, "Metamaterial Vivaldi Antenna Array for Breast Cancer Detection," Sensors, vol. 22, no. 10, May 2022, Art. no. 3945. DOI: https://doi.org/10.3390/s22103945
J. M. Felício, J. M. Bioucas-Dias, J. R. Costa, and C. A. Fernandes, "Antenna Design and Near-Field Characterization for Medical Microwave Imaging Applications," IEEE Transactions on Antennas and Propagation, vol. 67, no. 7, pp. 4811–4824, July 2019. DOI: https://doi.org/10.1109/TAP.2019.2905742
C. A. Balanis, Antenna Theory: Analysis and Design, 4th ed. Hoboken, NJ, USA: Wiley, 2016.
M. T. Islam, M. T. Islam, M. Samsuzzaman, H. Arshad, and H. Rmili, "Metamaterial Loaded Nine High Gain Vivaldi Antennas Array for Microwave Breast Imaging Application," IEEE Access, vol. 8, pp. 227678–227689, 2020. DOI: https://doi.org/10.1109/ACCESS.2020.3045458
S. Qanoune, H. Ammor, and Z. ER-Reguig, "Radio Frequency-Based Breast Cancer Detection System: Design and Implementation," in 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology, Fez, Morocco, 2024, pp. 1–4. DOI: https://doi.org/10.1109/IRASET60544.2024.10549363
Y. M. Abbosh, K. Sultan, L. Guo, and A. Abbosh, "Non-Uniform Antenna Array for Enhanced Medical Microwave Imaging," Sensors, vol. 25, no. 10, May 2025, Art. no. 3174. DOI: https://doi.org/10.3390/s25103174
A. Hossain, M. T. Islam, M. T. Islam, M. E. H. Chowdhury, H. Rmili, and M. Samsuzzaman, "A Planar Ultrawideband Patch Antenna Array for Microwave Breast Tumor Detection," Materials, vol. 13, no. 21, Nov. 2020, Art. no. 4918. DOI: https://doi.org/10.3390/ma13214918
S. Gabriel, R. W. Lau, and C. Gabriel, "The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues," Physics in Medicine & Biology, vol. 41, no. 11, Nov. 1996, Art. no. 2271. DOI: https://doi.org/10.1088/0031-9155/41/11/003
J. Song et al., "Evaluation of Contrast Enhancement by Carbon Nanotubes for Microwave-Induced Thermoacoustic Tomography," IEEE Transactions on Biomedical Engineering, vol. 62, no. 3, pp. 930–938, Mar. 2015. DOI: https://doi.org/10.1109/TBME.2014.2373397
D. Carvalho, A. J. Aragão, B. Sanches, H. D. Hernandez, and W. V. Noije, "Experimental evaluation of a Software-Defined Radio through a Breast Phantom aiming at Microwave Medical Imaging," Microprocessors and Microsystems, vol. 87, Nov. 2021, Art. no. 104381. DOI: https://doi.org/10.1016/j.micpro.2021.104381
A. Santorelli, E. Porter, E. Kang, T. Piske, M. Popović, and J. D. Schwartz, "A Time-Domain Microwave System for Breast Cancer Detection Using a Flexible Circuit Board," IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 11, pp. 2986–2994, Nov. 2015. DOI: https://doi.org/10.1109/TIM.2015.2440565
E. De Giovanni et al., "Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous Platforms," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11, pp. 3821–3832, Nov. 2020. DOI: https://doi.org/10.1109/TCAD.2020.3012652
A. de Jesus Aragão, D. Carvalho, B. Sanches, and W. A. M. van Noije, "A Review On Microwave Imaging Systems for Breast Cancer Detection," IEEE Access, vol. 12, pp. 190611–190628, 2024. DOI: https://doi.org/10.1109/ACCESS.2024.3516762
M. Maffongelli et al., "Design and Experimental Test of a Microwave System for Quantitative Biomedical Imaging," in 2018 IEEE International Symposium on Medical Measurements and Applications, Rome, Italy, 2018, pp. 1–6. DOI: https://doi.org/10.1109/MeMeA.2018.8438599
F. M. Saraskanroud and I. Jeffrey, "A Comparison of Time-Domain and Frequency-Domain Microwave Imaging of Experimental Targets," IEEE Transactions on Computational Imaging, vol. 7, pp. 611–623, 2021. DOI: https://doi.org/10.1109/TCI.2021.3089464
M. Klemm, J. A. Leendertz, D. Gibbins, I. J. Craddock, A. Preece, and R. Benjamin, "Microwave Radar-Based Breast Cancer Detection: Imaging in Inhomogeneous Breast Phantoms," IEEE Antennas and Wireless Propagation Letters, vol. 8, pp. 1349–1352, 2009. DOI: https://doi.org/10.1109/LAWP.2009.2036748
M. Z. Mahmud, M. T. Islam, N. Misran, A. F. Almutairi, and M. Cho, "Ultra-Wideband (UWB) Antenna Sensor Based Microwave Breast Imaging: A Review," Sensors, vol. 18, no. 9, Sept. 2018, Art. no. 2951. DOI: https://doi.org/10.3390/s18092951
D. T. Al-Zuhairi, A. M. Abed, J. M. Gahl, and N. E. Islam, "Phase-based window function and CD-DMAS beamforming for microwave breast cancer detection," IET Microwaves, Antennas & Propagation, vol. 14, no. 7, pp. 608–616, 2020. DOI: https://doi.org/10.1049/iet-map.2018.6078
D. O’Loughlin, M. O’Halloran, B. M. Moloney, M. Glavin, E. Jones, and M. A. Elahi, "Microwave Breast Imaging: Clinical Advances and Remaining Challenges," IEEE Transactions on Biomedical Engineering, vol. 65, no. 11, pp. 2580–2590, Nov. 2018. DOI: https://doi.org/10.1109/TBME.2018.2809541
Y. Kuwahara, "Microwave Imaging for Early Breast Cancer Detection," in New Perspectives in Breast Imaging, A. M. Malik, Ed. London, United Kingdom: IntechOpen, 2017. DOI: https://doi.org/10.5772/intechopen.69562
E. C. Fear, X. Li, S. C. Hagness, and M. A. Stuchly, "Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions," IEEE Transactions on Biomedical Engineering, vol. 49, no. 8, pp. 812–822, Aug. 2002. DOI: https://doi.org/10.1109/TBME.2002.800759
J.-C. Chiao et al., "Applications of Microwaves in Medicine," IEEE Journal of Microwaves, vol. 3, no. 1, pp. 134–169, Jan. 2023. DOI: https://doi.org/10.1109/JMW.2022.3223301
V. Roy, "Breast cancer Classification with Multi-Fusion Technique and Correlation Analysis," Fusion: Practice and Applications, vol. 9, no. 2, pp. 48–61, Jan. 2022. DOI: https://doi.org/10.54216/FPA.090204
M. Adachi et al., "Feasibility of Portable Microwave Imaging Device for Breast Cancer Detection," Diagnostics, vol. 12, no. 1, Dec. 2021, Art. no. 27. DOI: https://doi.org/10.3390/diagnostics12010027
A. H. Golnabi, P. M. Meaney, N. R. Epstein, and K. D. Paulsen, "Microwave imaging for breast cancer detection: Advances in three — Dimensional image reconstruction," in 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA, 2011, pp. 5730–5733. DOI: https://doi.org/10.1109/IEMBS.2011.6091418
M. T. Islam, M. Z. Mahmud, M. T. Islam, S. Kibria, and M. Samsuzzaman, "A Low Cost and Portable Microwave Imaging System for Breast Tumor Detection Using UWB Directional Antenna array," Scientific Reports, vol. 9, no. 1, Oct. 2019, Art. no. 15491. DOI: https://doi.org/10.1038/s41598-019-51620-z
N. Hammouch, A. Rghioui, H. Ammor, M. Oubrek, and J. Lloret, "A low-cost UWB microwave imaging system for early-stage breast cancer detection," Multimedia Tools and Applications, vol. 84, no. 17, pp. 17329–17360, May 2025. DOI: https://doi.org/10.1007/s11042-024-19761-0
Downloads
How to Cite
License
Copyright (c) 2026 Samiya Qanoune, Hassan Ammor, Zakaria Er-Reguig, Zouhair Guennoun

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
