A novel 3-D breast surface reconstruction algorithm for a multi-static radar-based breast imaging system

Sarafianou, Mantalena; Gibbins, David; Craddock, Ian J

doi:10.1109/lapc.2011.6114135

Cited by 11 publications

(14 citation statements)

References 5 publications

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“…In [19], a novel breast surface reconstruction algorithm was proposed for application to the 31-element array. The presented method is based on the Envelope algorithm originally proposed by Kidera et al in [20].…”

Section: Introductionmentioning

confidence: 99%

“…The Envelope algorithm was selected for breast surface reconstruction over the approaches considered in [11][12][13][14][15][16][17][18] since it offers highaccuracy surface reconstructions of arbitrary-shaped targets in scenarios considering various noise levels [20,21]. In [22], the 2-D Envelope algorithm initially proposed in [19] for the purpose of 2-D breast surface estimation was extended to 3-D using bistatic data for the first time. In [22], this extended Envelope algorithm was evaluated using numerical data.…”

Section: Introductionmentioning

confidence: 99%

“…In [22], the 2-D Envelope algorithm initially proposed in [19] for the purpose of 2-D breast surface estimation was extended to 3-D using bistatic data for the first time. In [22], this extended Envelope algorithm was evaluated using numerical data. From this prior work in [19,22], it was concluded that the extended Envelope algorithm was suitable for use by the 60-element array in recent clinical trials.…”

Section: Introductionmentioning

confidence: 99%

“…In [22], this extended Envelope algorithm was evaluated using numerical data. From this prior work in [19,22], it was concluded that the extended Envelope algorithm was suitable for use by the 60-element array in recent clinical trials.…”

Section: Introductionmentioning

confidence: 99%

“…There are three distinct differences in the work proposed in the present contribution compared to [19,22]. First, this paper addresses the application of the extended Envelope algorithm using the geometry and configuration of a 60-element array proposed in [7,8].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Evaluation of Two Approaches for Breast Surface Measurement Applied to a Radar-Based Imaging System

Sarafianou

Preece

Craddock

et al. 2016

IEEE Trans. Antennas Propagat.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of Two Approaches for Breast Surface Measurement Applied to a Radar-Based Imaging System

Sarafianou

Preece

Craddock

et al. 2016

IEEE Trans. Antennas Propagat.

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A novel dual calibration technique for microwave early breast tumour detection in MR images-based model

Wang

Xiao

Song

2016

Journal of Microwave Power and Electromagnetic Energy

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2016) A novel dual calibration technique for microwave early breast tumour detection in MR images-based model, Journal of Microwave Power and Electromagnetic Energy, 50:1, 66-78To link to this article: http://dx. ABSTRACTA novel dual calibration confocal imaging technique is presented for microwave early breast tumour detection. The physical basis for microwave breast tumour detection is the contrast in electrical properties of normal tissues and tumours. Confocal imaging technique employs short pulse signals to illuminate breast model from a number of antennas over skin surface, and backscattered energy is collected to analyse the internal structure. In this research, a novel calibration technique is developed to remove artefacts and amplify the tumour responses, and a doubling of tumour response data is obtained without the prior knowledge of tumour location. The internal structure of the breast model is built based on magnetic resonance (MR) images, and the proposed method is verified through computer simulations. The imaging results show that a small tumour with 3 millimetres in diameter has been successfully detected using this method. Though the tumour response is weaker than the residual artefact in small tumour scene, the method can keep noise pixels from overlapping and improve its robustness. Details steps of the method are discussed in this research.

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