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Article

Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies

1
Electronic and Electrical Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland
2
Electrical and Electronic Engineering, National University of Ireland Galway, H91 TK33 Galway, Ireland
3
Electrical and Computer Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Giacomo Oliveri
Sensors 2021, 21(23), 8048; https://doi.org/10.3390/s21238048
Received: 20 September 2021 / Revised: 19 November 2021 / Accepted: 26 November 2021 / Published: 1 December 2021
Microwave breast imaging has seen increasing use in clinical investigations in the past decade with over eight systems having being trialled with patients. The majority of systems use radar-based algorithms to reconstruct the image shown to the clinician which requires an estimate of the dielectric properties of the breast to synthetically focus signals to reconstruct the image. Both simulated and experimental studies have shown that, even in simplified scenarios, misestimation of the dielectric properties can impair both the image quality and tumour detection. Many methods have been proposed to address the issue of the estimation of dielectric properties, but few have been tested with patient images. In this work, a leading approach for dielectric properties estimation based on the computation of many candidate images for microwave breast imaging is analysed with patient images for the first time. Using five clinical case studies of both healthy breasts and breasts with abnormalities, the advantages and disadvantages of computational patient-specific microwave breast image reconstruction are highlighted. View Full-Text
Keywords: microwave breast imaging; imaging algorithms; patient images; patient-specific imaging microwave breast imaging; imaging algorithms; patient images; patient-specific imaging
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MDPI and ACS Style

O’Loughlin, D.; Elahi, M.A.; Lavoie, B.R.; Fear, E.C.; O’Halloran, M. Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies. Sensors 2021, 21, 8048. https://doi.org/10.3390/s21238048

AMA Style

O’Loughlin D, Elahi MA, Lavoie BR, Fear EC, O’Halloran M. Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies. Sensors. 2021; 21(23):8048. https://doi.org/10.3390/s21238048

Chicago/Turabian Style

O’Loughlin, Declan, Muhammad A. Elahi, Benjamin R. Lavoie, Elise C. Fear, and Martin O’Halloran. 2021. "Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies" Sensors 21, no. 23: 8048. https://doi.org/10.3390/s21238048

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