Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions

By Elise C. Fear, Xu Li, Susan C. Hagness, Maria A. Stuchly. IEEE Transactions on Biomedical Engineering, 2002

927 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/cca03aaf3983b8158fa7ed11e29477a27aed3a8e

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In Biomedical Engineering

In Mechanics of Materials

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Citations in the corpus

Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models (2005, methodology): “This is obtained from the skin location and thickness estimates [28].”
On the Opportunities and Challenges in Microwave Medical Sensing and Imaging (2015, methodology): “For example, X-rays are used in mammography for breast tumor detection where a high false negative rate (4 − 34%) and high false positive rate (70%) have been reported [3].”
Microwave Imaging for Breast Cancer (2011, methodology): “Illustration of acquisition surfaces used in microwave imaging of the breast: (a) planar surface acquisition used in reflection holography [68] and confocal imaging [69], (b) double-plane surface acquisition used in reflection/transmission holography [70], [71], (c) cylindrical scan for reflection c”
A confocal microwave imaging algorithm for breast cancer detection (2001, background): “FDTD breast model for data acquisition In conventional microwaves imaging systems [10], the bistatic pattern is to make the transmitting and receiving antennas move together with a fixed offset over the investigation domain.”
A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries (2007, methodology): “Accordingly, researchers have begun to explore the feasibility of microwave techniques for breast cancer detection (Hagness et al 1998, Meaney et al 2000, Bulyshev et al 2001, Li and Hagness 2001, Fear et al 2002a, 2002b, 2003, Bond et al 2003, Hernandez-Lopez et al 2003, Nilavalan et al 2003, Zha”
An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection (2005, methodology): “scheme to create a synthetically focused signal [5, 29 ].”
Confocal Microwave Imaging for Breast Cancer Detection: Delay-Multiply-and-Sum Image Reconstruction Algorithm (2008, methodology): “For the 2-D case, a reference waveform R[n], which closely approximates the early-time content but with negligible late-time content is created by averaging all the M recorded backscattered signals [8], [9].”
Microwave Breast Imaging With a Monostatic Radar-Based System: A Study of Application to Patients (2013, methodology): “The recorded data are used to generate 3-D images of the breast using a time-shift and sum approach [24] with the volume of interest for imaging defined by the laser data [25] and an adaptive algorithm used to reduce the dominant reflections from the skin [26].”