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 ◽  
...  
2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Hoi-Shun Lui ◽  
Andreas Fhager ◽  
Mikael Persson

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.


Author(s):  
Nur' Atika Koma'rudin ◽  
Zahril Adha Zakaria ◽  
Ping Jack Soh ◽  
Herwansyah Lago ◽  
Hussein Alsariera ◽  
...  

Author(s):  
Yazan Abdoush ◽  
Angie Fasoula ◽  
Luc Duchesne ◽  
Julio D. Gil Cano ◽  
Brian M. Moloney ◽  
...  

Author(s):  
Mark Haynes ◽  
Line van Nieuwstadt ◽  
Steven Clarkson ◽  
John Stang ◽  
Clare Ward ◽  
...  

Diagnostics ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 53 ◽  
Author(s):  
Angie Fasoula ◽  
Luc Duchesne ◽  
Julio Gil Cano ◽  
Peter Lawrence ◽  
Guillaume Robin ◽  
...  

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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