A confocal microwave imaging algorithm for breast cancer detection

By Xu Li, Susan C. Hagness. IEEE Microwave and Wireless Components Letters, 2001

509 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/21cc0de03dc61586d7897a41c6cb3b0fa8065297

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In Biomedical Engineering

In Mechanics of Materials

In Ocean Engineering

Citations in the corpus

Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions (2002, methodology): “investigation of issues related to practical implementation of CMI will involve anatomically realistic numerical breast models based on high resolution MRI scans, similar to the model presented in two dimensions for the planar configuration case [26], and experimental studies using tissue phantoms.”
Microwave imaging via space-time beamforming for early detection of breast cancer (2002, result): “MIST beamforming, which falls under this class of techniques, offers significant improvement over the previously reported techniques of simple time-shifting and summing of backscattered signals to create a synthetically focused signal.”
Enhancing breast tumor detection with near-field imaging (2002, background): “Spatial focusing overcomes the challenges of breast heterogeneity, thereby permitting millimeter-sized tumors to be detected and localized by CMI [ 20 ].”
A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries (2007, background): “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”
On the Opportunities and Challenges in Microwave Medical Sensing and Imaging (2015, methodology): “Breast Imaging (see Section IV-C) Confocal [78], [79] Yes No No No 3.”
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].”