Novel microwave apparatus for breast lesions detection: Preliminary clinical results
Journal article
Sani, L., Ghavami, N., Vispa, A., Paoli, M., Raspa, G., Ghavami, M., Sacchetti, F., Vannini, E., Ercolani, S., Saracini, A., Duranti, M. and Tiberi, G. (2019). Novel microwave apparatus for breast lesions detection: Preliminary clinical results. Biomedical Signal Processing and Control. 52, pp. 257-263. https://doi.org/10.1016/j.bspc.2019.04.025
Authors | Sani, L., Ghavami, N., Vispa, A., Paoli, M., Raspa, G., Ghavami, M., Sacchetti, F., Vannini, E., Ercolani, S., Saracini, A., Duranti, M. and Tiberi, G. |
---|---|
Abstract | This paper presents preliminary results of an innovative microwave imaging apparatus for breast lesions detection. Specially, a Huygens Principle based method is employed to process the microwave signals and to build the respective microwave images. The apparatus has been first tested on phantoms. Next, its performance has been verified through clinical examinations on 22 healthy breasts and on 29 breast having lesions, using as gold standard the output of the radiologist study review obtained using conventional techniques. Specifically, we introduce a metric, which is the ratio between maximum and average of the image intensity (MAX/AVG). We found that MAX/AVG of microwave images can be used for classifying breasts containing lesions. In addition, using MAX/AVG as classification parameter, receiver operating characteristic curves have been empirically determined. Furthermore, for one randomly selected breast having lesion, we have demonstrated that the localisation of the inclusion acquired through microwave imaging is compatible with mammography images. |
Keywords | Microwave imaging; Breast cancer detection; Huygens principle |
Year | 2019 |
Journal | Biomedical Signal Processing and Control |
Journal citation | 52, pp. 257-263 |
Publisher | Elsevier |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.bspc.2019.04.025 |
Web address (URL) | http://www.scopus.com/inward/record.url?eid=2-s2.0-85065238935&partnerID=MN8TOARS |
Publication dates | |
09 May 2019 | |
2019 | |
Publication process dates | |
Deposited | 11 May 2019 |
Accepted | 18 Apr 2019 |
Accepted author manuscript | License File Access Level Open |
ISBN | 17468108 17468094 |
https://openresearch.lsbu.ac.uk/item/866qq
Download files
Accepted author manuscript
BSPC-D-17-00712R1_to_be_published.pdf | ||
License: CC BY-NC-ND 4.0 | ||
File access level: Open |
186
total views174
total downloads1
views this month4
downloads this month