Spectroscopic thermoacoustic imaging of water and fat composition

Daniel R. Bauer; Xiong Wang; Jeff Vollin; Hao Xin; Russell S. Witte

doi:10.1063/1.4737414

Spectroscopic thermoacoustic imaging of water and fat composition

Daniel R. Bauer, Xiong Wang, Jeff Vollin, Hao Xin, Russell S. Witte

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

54 Scopus citations

Abstract

During clinical studies, thermoacoustic imaging (TAI) failed to reliably identify malignant breast tissue. To increase detection capability, we propose spectroscopic TAI to differentiate samples based on the slope of their dielectric absorption. Phantoms composed of different ratios of water and fat were imaged using excitation frequencies between 2.7 and 3.1 GHz. The frequency-dependent slope of the TA signal was highly correlated with that of its absorption coefficient (R ² 0.98 and p < 0.01), indicating spectroscopic TAI can distinguish materials based on their intrinsic dielectric properties. This approach potentially enhances cancer detection due to the increased water content of many tumors.

Original language	English (US)
Article number	033705
Journal	Applied Physics Letters
Volume	101
Issue number	3
DOIs	https://doi.org/10.1063/1.4737414
State	Published - Jul 16 2012

ASJC Scopus subject areas

Physics and Astronomy (miscellaneous)

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title = "Spectroscopic thermoacoustic imaging of water and fat composition",

abstract = "During clinical studies, thermoacoustic imaging (TAI) failed to reliably identify malignant breast tissue. To increase detection capability, we propose spectroscopic TAI to differentiate samples based on the slope of their dielectric absorption. Phantoms composed of different ratios of water and fat were imaged using excitation frequencies between 2.7 and 3.1 GHz. The frequency-dependent slope of the TA signal was highly correlated with that of its absorption coefficient (R 2 0.98 and p < 0.01), indicating spectroscopic TAI can distinguish materials based on their intrinsic dielectric properties. This approach potentially enhances cancer detection due to the increased water content of many tumors.",

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AU - Bauer, Daniel R.

AU - Wang, Xiong

AU - Vollin, Jeff

AU - Xin, Hao

AU - Witte, Russell S.

PY - 2012/7/16

Y1 - 2012/7/16

N2 - During clinical studies, thermoacoustic imaging (TAI) failed to reliably identify malignant breast tissue. To increase detection capability, we propose spectroscopic TAI to differentiate samples based on the slope of their dielectric absorption. Phantoms composed of different ratios of water and fat were imaged using excitation frequencies between 2.7 and 3.1 GHz. The frequency-dependent slope of the TA signal was highly correlated with that of its absorption coefficient (R 2 0.98 and p < 0.01), indicating spectroscopic TAI can distinguish materials based on their intrinsic dielectric properties. This approach potentially enhances cancer detection due to the increased water content of many tumors.

AB - During clinical studies, thermoacoustic imaging (TAI) failed to reliably identify malignant breast tissue. To increase detection capability, we propose spectroscopic TAI to differentiate samples based on the slope of their dielectric absorption. Phantoms composed of different ratios of water and fat were imaged using excitation frequencies between 2.7 and 3.1 GHz. The frequency-dependent slope of the TA signal was highly correlated with that of its absorption coefficient (R 2 0.98 and p < 0.01), indicating spectroscopic TAI can distinguish materials based on their intrinsic dielectric properties. This approach potentially enhances cancer detection due to the increased water content of many tumors.

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Spectroscopic thermoacoustic imaging of water and fat composition

Abstract

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