Author:
Akbari-Chelaresi Hamid,Alsaedi Dawood,Mirjahanmardi Seyed Hossein,El Badawe Mohamed,Albishi Ali M.,Nayyeri Vahid,Ramahi Omar M.
Abstract
AbstractIn this paper, a novel technique for detecting female breast anomalous tissues is presented and validated through numerical simulations. The technique, to a high degree, resembles X-ray mammography; however, instead of using X-rays for obtaining images of the breast, low-frequency electromagnetic fields are leveraged. To capture breast impressions, a metasurface, which can be thought of as analogous to X-rays film, has been employed. To achieve deep and sufficient penetration within the breast tissues, the source of excitation is a simple narrow-band dipole antenna operating at 200 MHz. The metasurface is designed to operate at the same frequency. The detection mechanism is based on comparing the impressions obtained from the breast under examination to the reference case (healthy breasts) using machine learning techniques. Using this system, not only would it be possible to detect tumors (benign or malignant), but one can also determine the location and size of the tumors. Remarkably, deep learning models were found to achieve very high classification accuracy.
Publisher
Springer Science and Business Media LLC
Reference42 articles.
1. Sung, H. et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71, 209–249 (2021).
2. Hossain, M. D. & Mohan, A. S. Cancer detection in highly dense breasts using coherently focused time-reversal microwave imaging. IEEE Trans. Comput. Imaging 3, 928–939 (2017).
3. Lewis, M., Prashar, A., Toms, A. P., Armon, M. P. & Malcolm, P. N. The diagnosis of thoracic outlet syndrome. J. Vasc. Diagn. Interv. 2, 113–120 (2014).
4. Lui, G. K. et al. Diagnosis and management of noncardiac complications in adults with congenital heart disease: A scientific statement from the American Heart Association. Circulation 136, e348–e392 (2017).
5. Smith, A. P. et al. Emerging technologies in breast cancer detection. Radiol. Manag. 26, 16–27 (2004).