Multi-polarized microwave power imaging algorithm for early breast cancer detection

W. Shao; R. S. Adams

doi:10.2528/PIERM11082510

Multi-polarized microwave power imaging algorithm for early breast cancer detection

W. Shao, R. S. Adams

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

A new image reconstruction algorithm for early breast cancer detection using ultra-wideband microwave signals is proposed. In this algorithm, the backscattered electric and magnetic fields are measured and combined in a novel way; the direction of power flow with respect to a given focal point is used to localize tumors. Significant improvement in signal-to-mean raito (SMR) and signalto-clutter ratio (SCR) are achieved when driving signals consist of waves with multiple polarizations. Numerical results demonstrate nearly 5.5 dB improvement of SMR and SCR over the traditional Confocal Microwave Imaging method when a single 8 mm breast tumor is present.

Original language	English (US)
Pages (from-to)	93-107
Number of pages	15
Journal	Progress In Electromagnetics Research M
Volume	23
DOIs	https://doi.org/10.2528/PIERM11082510
State	Published - Jan 20 2012
Externally published	Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics

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10.2528/PIERM11082510

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title = "Multi-polarized microwave power imaging algorithm for early breast cancer detection",

abstract = "A new image reconstruction algorithm for early breast cancer detection using ultra-wideband microwave signals is proposed. In this algorithm, the backscattered electric and magnetic fields are measured and combined in a novel way; the direction of power flow with respect to a given focal point is used to localize tumors. Significant improvement in signal-to-mean raito (SMR) and signalto-clutter ratio (SCR) are achieved when driving signals consist of waves with multiple polarizations. Numerical results demonstrate nearly 5.5 dB improvement of SMR and SCR over the traditional Confocal Microwave Imaging method when a single 8 mm breast tumor is present.",

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AU - Adams, R. S.

PY - 2012/1/20

Y1 - 2012/1/20

N2 - A new image reconstruction algorithm for early breast cancer detection using ultra-wideband microwave signals is proposed. In this algorithm, the backscattered electric and magnetic fields are measured and combined in a novel way; the direction of power flow with respect to a given focal point is used to localize tumors. Significant improvement in signal-to-mean raito (SMR) and signalto-clutter ratio (SCR) are achieved when driving signals consist of waves with multiple polarizations. Numerical results demonstrate nearly 5.5 dB improvement of SMR and SCR over the traditional Confocal Microwave Imaging method when a single 8 mm breast tumor is present.

AB - A new image reconstruction algorithm for early breast cancer detection using ultra-wideband microwave signals is proposed. In this algorithm, the backscattered electric and magnetic fields are measured and combined in a novel way; the direction of power flow with respect to a given focal point is used to localize tumors. Significant improvement in signal-to-mean raito (SMR) and signalto-clutter ratio (SCR) are achieved when driving signals consist of waves with multiple polarizations. Numerical results demonstrate nearly 5.5 dB improvement of SMR and SCR over the traditional Confocal Microwave Imaging method when a single 8 mm breast tumor is present.

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Multi-polarized microwave power imaging algorithm for early breast cancer detection

Abstract

ASJC Scopus subject areas

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