Microwave breast imaging: 3-D forward scattering simulation

2003 ◽  
Vol 50 (10) ◽  
pp. 1180-1189 ◽  
Author(s):  
Zhong Qing Zhang ◽  
Qing Huo Liu ◽  
Chunjiang Xiao ◽  
E. Ward ◽  
G. Ybarra ◽  
...  
Keyword(s):  
Breast Imaging ◽  
Forward Scattering ◽  
Microwave Breast Imaging

scholarly journals On the Forward Scattering of Microwave Breast Imaging

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Hoi-Shun Lui ◽  
Andreas Fhager ◽  
Mikael Persson
Keyword(s):  
Inverse Scattering ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Numerical Study ◽  
Forward Scattering ◽  
Scattering Data ◽  
Breast Volume ◽  
Significant Interest ◽  
Microwave Breast Imaging

Microwave imaging for breast cancer detection has been of significant interest for the last two decades. Recent studies focus on solving the imaging problem using an inverse scattering approach. Efforts have mainly been focused on the development of the inverse scattering algorithms, experimental setup, antenna design and clinical trials. However, the success of microwave breast imaging also heavily relies on the quality of the forward data such that the tumor inside the breast volume is well illuminated. In this work, a numerical study of the forward scattering data is conducted. The scattering behavior of simple breast models under different polarization states and aspect angles of illumination are considered. Numerical results have demonstrated that better data contrast could be obtained when the breast volume is illuminated using cross-polarized components in linear polarization basis or the copolarized components in the circular polarization basis.

A Review of Recent Microwave Breast Imaging

2020 ◽  
Vol 10 (4) ◽  
pp. 257
Author(s):  
Nur' Atika Koma'rudin ◽  
Zahril Adha Zakaria ◽  
Ping Jack Soh ◽  
Herwansyah Lago ◽  
Hussein Alsariera ◽  
...  
Keyword(s):  
Breast Imaging ◽  
Microwave Breast Imaging

Validation of Wavelia Microwave Breast Imaging System Using Mammography Breast Density

2021 ◽  
Author(s):  
Yazan Abdoush ◽  
Angie Fasoula ◽  
Luc Duchesne ◽  
Julio D. Gil Cano ◽  
Brian M. Moloney ◽  
...  
Keyword(s):  
Breast Density ◽  
Breast Imaging ◽  
Imaging System ◽  
Microwave Breast Imaging

Ongoing development of microwave breast imaging system components

2011 ◽  
Author(s):  
Mark Haynes ◽  
Line van Nieuwstadt ◽  
Steven Clarkson ◽  
John Stang ◽  
Clare Ward ◽  
...  
Keyword(s):  
Breast Imaging ◽  
Imaging System ◽  
System Components ◽  
Ongoing Development ◽  
Microwave Breast Imaging

scholarly journals On-Site Validation of a Microwave Breast Imaging System, before First Patient Study

Diagnostics ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 53 ◽  
Author(s):  
Angie Fasoula ◽  
Luc Duchesne ◽  
Julio Gil Cano ◽  
Peter Lawrence ◽  
Guillaume Robin ◽  
...  
Keyword(s):  
Breast Imaging ◽  
Imaging System ◽  
Imaging Modality ◽  
Disease Diagnosis ◽  
Operating Conditions ◽  
University Hospital ◽  
Radar Signal ◽  
Clinical Test ◽  
Signal Processing Algorithms ◽  
Microwave Breast Imaging

This paper presents the Wavelia microwave breast imaging system that has been recently installed at the Galway University Hospital, Ireland, for a first-in-human pilot clinical test. Microwave breast imaging has been extensively investigated over the last two decades as an alternative imaging modality that could potentially bring complementary information to state-of-the-art modalities such as X-ray mammography. Following an overview of the main working principles of this technology, the Wavelia imaging system architecture is presented, as are the radar signal processing algorithms that are used in forming the microwave images in which small tumors could be detectable for disease diagnosis. The methodology and specific quality metrics that have been developed to properly evaluate and validate the performance of the imaging system using complex breast phantoms that are scanned at controlled measurement conditions are also presented in the paper. Indicative results from the application of this methodology to the on-site validation of the imaging system after its installation at the hospital for pilot clinical testing are thoroughly presented and discussed. Given that the imaging system is still at the prototype level of development, a rigorous quality assessment and system validation at nominal operating conditions is very important in order to ensure high-quality clinical data collection.

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