Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging

Yifan Chen; Ian James Craddock; Panagiotis Kosmas

doi:10.1109/TBME.2009.2038788

Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging

Yifan Chen, Ian James Craddock, Panagiotis Kosmas

Biomedical Engineering Department

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

48 Citations (Scopus)

Abstract

This letter investigates the feasibility of applying contrast agents for lesion classification in ultra wideband (UWB) breast imaging. Previous study has focused on distinguishing benign from malignant masses by exploiting their morphology-dependent backscatter signature via the complex natural resonances of the late-time target response. The tissue differentiation capability, however, deteriorates severely if the intrinsic contrast between the dielectric properties of dysplastic and normal tissues are small. A possible solution to this problem is proposed in this letter via the use of microwave contrast agents, where the damping factors of the differential backscatter responses before and after the infusion of contrast agents to a dysplastic inclusion are used to correlate with the anomaly shapes. The feasibility of this approach for lesion classification is demonstrated through comprehensive simulation studies using realistic numerical breast models.

Original language	English
Article number	5415609
Pages (from-to)	1003 - 1007
Number of pages	5
Journal	IEEE Transactions on Biomedical Engineering
Volume	57
Issue number	5
DOIs	https://doi.org/10.1109/TBME.2009.2038788
Publication status	Published - May 2010

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title = "Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging",

abstract = "This letter investigates the feasibility of applying contrast agents for lesion classification in ultra wideband (UWB) breast imaging. Previous study has focused on distinguishing benign from malignant masses by exploiting their morphology-dependent backscatter signature via the complex natural resonances of the late-time target response. The tissue differentiation capability, however, deteriorates severely if the intrinsic contrast between the dielectric properties of dysplastic and normal tissues are small. A possible solution to this problem is proposed in this letter via the use of microwave contrast agents, where the damping factors of the differential backscatter responses before and after the infusion of contrast agents to a dysplastic inclusion are used to correlate with the anomaly shapes. The feasibility of this approach for lesion classification is demonstrated through comprehensive simulation studies using realistic numerical breast models.",

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T1 - Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging

AU - Chen, Yifan

AU - Craddock, Ian James

AU - Kosmas, Panagiotis

PY - 2010/5

Y1 - 2010/5

N2 - This letter investigates the feasibility of applying contrast agents for lesion classification in ultra wideband (UWB) breast imaging. Previous study has focused on distinguishing benign from malignant masses by exploiting their morphology-dependent backscatter signature via the complex natural resonances of the late-time target response. The tissue differentiation capability, however, deteriorates severely if the intrinsic contrast between the dielectric properties of dysplastic and normal tissues are small. A possible solution to this problem is proposed in this letter via the use of microwave contrast agents, where the damping factors of the differential backscatter responses before and after the infusion of contrast agents to a dysplastic inclusion are used to correlate with the anomaly shapes. The feasibility of this approach for lesion classification is demonstrated through comprehensive simulation studies using realistic numerical breast models.

AB - This letter investigates the feasibility of applying contrast agents for lesion classification in ultra wideband (UWB) breast imaging. Previous study has focused on distinguishing benign from malignant masses by exploiting their morphology-dependent backscatter signature via the complex natural resonances of the late-time target response. The tissue differentiation capability, however, deteriorates severely if the intrinsic contrast between the dielectric properties of dysplastic and normal tissues are small. A possible solution to this problem is proposed in this letter via the use of microwave contrast agents, where the damping factors of the differential backscatter responses before and after the infusion of contrast agents to a dysplastic inclusion are used to correlate with the anomaly shapes. The feasibility of this approach for lesion classification is demonstrated through comprehensive simulation studies using realistic numerical breast models.

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DO - 10.1109/TBME.2009.2038788

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JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 5

M1 - 5415609

ER -

Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging

Abstract

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