Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies

Sensors

Benjamin R. Lavoie¹  Elise C. Fear¹  Martin O’Halloran²  Muhammad Adnan Elahi²  Declan O’Loughlin³ 

[1] Electrical and Computer Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada;Electrical and Electronic Engineering, National University of Ireland Galway, H91 TK33 Galway, Ireland;Electronic and Electrical Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland;

关键词: microwave breast imaging;    imaging algorithms;    patient images;    patient-specific imaging;   

DOI  :  10.3390/s21238048

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown