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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Felício, J. M., Bioucas-Dias, J. M., Costa, J. R. & Fernandes, C. A. (2020). Microwave breast imaging using a dry setup. IEEE Transactions on Computational Imaging. 6 (12), 167-180
Exportar Referência (IEEE)
J. M. Felício et al.,  "Microwave breast imaging using a dry setup", in IEEE Transactions on Computational Imaging, vol. 6, no. 12, pp. 167-180, 2020
Exportar BibTeX
@article{felício2020_1656560323673,
	author = "Felício, J. M. and Bioucas-Dias, J. M. and Costa, J. R. and Fernandes, C. A.",
	title = "Microwave breast imaging using a dry setup",
	journal = "IEEE Transactions on Computational Imaging",
	year = "2020",
	volume = "6",
	number = "12",
	doi = "10.1109/TCI.2019.2931079",
	pages = "167-180",
	url = "https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6745852"
}
Exportar RIS
TY  - JOUR
TI  - Microwave breast imaging using a dry setup
T2  - IEEE Transactions on Computational Imaging
VL  - 6
IS  - 12
AU  - Felício, J. M.
AU  - Bioucas-Dias, J. M.
AU  - Costa, J. R.
AU  - Fernandes, C. A.
PY  - 2020
SP  - 167-180
SN  - 2333-9403
DO  - 10.1109/TCI.2019.2931079
UR  - https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6745852
AB  - This article demonstrates for the first time, both numerically and experimentally, the feasibility of radar-based microwave imaging of anthropomorphic heterogeneously dense breasts in prone position, requiring no immersion liquid. The dry, contactless approach greatly simplifies the setup, favors patient comfort, and further avoids lengthy sanitation procedures after each exam. We use a radar-type technique with the antennas distributed in cylindrical configuration around the breast phantom. The reflectivity map is reconstructed using a wave-migration algorithm in the frequency domain. This article presents new developed strategies to cope with the challenges of a dry setup, namely increased skin artifact due to the concomitant absence of matching liquid and nonuniform breast shape. We propose an iterative and adaptive algorithm based on singular value decomposition that effectively removes the skin backscattering under the abovementioned conditions. It is compatible with automatic processing, and computationally fast. One of its inputs is the breast three-dimensional surface information, and its distance to the antennas, all obtained automatically from a proposed low-cost procedure based on a webcam. The imaging method is reasonably resilient to the presence of fibroglandular tissues, and to uncertainties of tissue permittivity. Another tackled challenge is the miniaturization of the antenna in air, which is achieved with an optimized balanced antipodal Vivaldi of the same size as counterparts used in dense immersion liquids. Finally, all the building blocks are combined to demonstrate experimentally the overall dry system performance, with very good detection of the tumor at three different positions in the breast, even in low-contrast scenarios.
ER  -