Non-iterative beamforming based on Huygens principle for multistatic ultrawide band radar: application to breast imaging

This study examines the performance of a simple microwave beamforming method using the Huygens scattering principle (called here the Huygens principle method) for detecting breast lesions. The beamforming method is similar to non-iterative time reversal in that the wave received is propagated back i...

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Bibliographic Details
Published in:IET microwaves, antennas & propagation antennas & propagation, 2015-09, Vol.9 (12), p.1233-1240
Main Authors: Ghavami, Navid, Probert Smith, Penny, Tiberi, Gianluigi, Edwards, David, Craddock, Ian
Format: Article
Language:English
Subjects:
Algorithms
anatomically shaped breast phantom
array signal processing
Beamforming
Breast
breast imaging application
breast lesion detection
computational complexity
dielectric properties
Huygens principle
Huygens principle method
Huygens scattering principle
Inclusions
inverse model
iterative methods
medical image processing
Microwave antennas
microwave beamforming method
mimicking breast tissue
multiple hidden inclusions
multistatic ultrawide band radar
noniterative beamforming
object tracking
Radar imaging
single pass algorithm
single scatterer model
target object
ultra wideband radar
Wave attenuation
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Summary:This study examines the performance of a simple microwave beamforming method using the Huygens scattering principle (called here the Huygens principle method) for detecting breast lesions. The beamforming method is similar to non-iterative time reversal in that the wave received is propagated back into the material, although differs in its treatment of attenuation. The single pass algorithm does not require a solution to an inverse model, making it computationally efficient and so able to offer a throughput appropriate for clinical use. Its performance is compared with time-delay beamforming, which may be implemented with similar computational complexity, on a set of phantoms, including a lossy medium, mimicking breast tissue. The method was used to image a commercially fabricated anatomically shaped breast phantom with multiple hidden inclusions mimicking tumours. The procedure was able to identify and localise significant scatterers inside the volume, with only approximate a-priori knowledge of the dielectric properties of the target object, in spite of its underlying assumption of a single scatterer model.
ISSN:1751-8725
1751-8733
1751-8733
DOI:10.1049/iet-map.2014.0621