Acoustic Performance of Mesh Compression Paddles for a Multimodality Breast Imaging System

2014 ◽  
Vol 40 (7) ◽  
pp. 1503-1511 ◽  
Author(s):  
Gerald L. LeCarpentier ◽  
Mitchell M. Goodsitt ◽  
Sacha Verweij ◽  
Jie Li ◽  
Frederic R. Padilla ◽  
...  
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.


Author(s):  
Bernhard B. Zimmermann ◽  
Bin Deng ◽  
Bhawana Singh ◽  
Qianqian Fang ◽  
David A. Boas ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Mark Haynes ◽  
John Stang ◽  
Mahta Moghaddam

The increasing number of experimental microwave breast imaging systems and the need to properly model them have motivated our development of an integrated numerical characterization technique. We use Ansoft HFSS and a formalism we developed previously to numerically characterize anS-parameter- based breast imaging system and link it to an inverse scattering algorithm. We show successful reconstructions of simple test objects using synthetic and experimental data. We demonstrate the sensitivity of image reconstructions to knowledge of the background dielectric properties and show the limits of the current model.


2010 ◽  
Vol 13 (2) ◽  
pp. 232-238 ◽  
Author(s):  
Stephanie M. W. Y. van de Ven ◽  
Niculae Mincu ◽  
Jean Brunette ◽  
Guobin Ma ◽  
Mario Khayat ◽  
...  

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