Statistical spectral analysis for echo signals from microbubbles and solid spheres

Yan Yan, James R. Hopgood, Robin Steel, Vassilis Sboros

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The spectral analysis of echo signals from linear and non-linear scatters is important for understanding the behavior of ultrasound contrast microbubbles (MBs) and assisting the design of insonifying pulse waveforms. Most pulse designs assume a theoretical MB behavior instead of using experimental data despite it being accepted that theoretical models have not succeeded in describing MB behavior. Fourier transform (FT) based non-parametric spectral analysis methods are widely used but have limitations in spectral and temporal localization. This study is the first to incorporate receiver characteristics and introduce a parametric model for the estimation of temporal and spectral content of experimental echo signals. This study improves spectral analysis performance and helps understand MB behavior.

Original languageEnglish
Title of host publicationIEEE Ultrasonics Symposium, 2008
PublisherIEEE
Pages1382-1385
Number of pages4
ISBN (Electronic)978-1-4244-2480-1
ISBN (Print)978-1-4244-2428-3
DOIs
Publication statusPublished - 2008
EventIEEE Ultrasonics Symposium, 2008 - Beijing, China
Duration: 2 Nov 20085 Nov 2008

Conference

ConferenceIEEE Ultrasonics Symposium, 2008
Abbreviated titleIUS 2008
CountryChina
CityBeijing
Period2/11/085/11/08

Cite this

Yan, Y., Hopgood, J. R., Steel, R., & Sboros, V. (2008). Statistical spectral analysis for echo signals from microbubbles and solid spheres. In IEEE Ultrasonics Symposium, 2008 (pp. 1382-1385). IEEE. https://doi.org/10.1109/ULTSYM.2008.0335
Yan, Yan ; Hopgood, James R. ; Steel, Robin ; Sboros, Vassilis. / Statistical spectral analysis for echo signals from microbubbles and solid spheres. IEEE Ultrasonics Symposium, 2008. IEEE, 2008. pp. 1382-1385
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abstract = "The spectral analysis of echo signals from linear and non-linear scatters is important for understanding the behavior of ultrasound contrast microbubbles (MBs) and assisting the design of insonifying pulse waveforms. Most pulse designs assume a theoretical MB behavior instead of using experimental data despite it being accepted that theoretical models have not succeeded in describing MB behavior. Fourier transform (FT) based non-parametric spectral analysis methods are widely used but have limitations in spectral and temporal localization. This study is the first to incorporate receiver characteristics and introduce a parametric model for the estimation of temporal and spectral content of experimental echo signals. This study improves spectral analysis performance and helps understand MB behavior.",
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Yan, Y, Hopgood, JR, Steel, R & Sboros, V 2008, Statistical spectral analysis for echo signals from microbubbles and solid spheres. in IEEE Ultrasonics Symposium, 2008. IEEE, pp. 1382-1385, IEEE Ultrasonics Symposium, 2008, Beijing, China, 2/11/08. https://doi.org/10.1109/ULTSYM.2008.0335

Statistical spectral analysis for echo signals from microbubbles and solid spheres. / Yan, Yan; Hopgood, James R.; Steel, Robin; Sboros, Vassilis.

IEEE Ultrasonics Symposium, 2008. IEEE, 2008. p. 1382-1385.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - The spectral analysis of echo signals from linear and non-linear scatters is important for understanding the behavior of ultrasound contrast microbubbles (MBs) and assisting the design of insonifying pulse waveforms. Most pulse designs assume a theoretical MB behavior instead of using experimental data despite it being accepted that theoretical models have not succeeded in describing MB behavior. Fourier transform (FT) based non-parametric spectral analysis methods are widely used but have limitations in spectral and temporal localization. This study is the first to incorporate receiver characteristics and introduce a parametric model for the estimation of temporal and spectral content of experimental echo signals. This study improves spectral analysis performance and helps understand MB behavior.

AB - The spectral analysis of echo signals from linear and non-linear scatters is important for understanding the behavior of ultrasound contrast microbubbles (MBs) and assisting the design of insonifying pulse waveforms. Most pulse designs assume a theoretical MB behavior instead of using experimental data despite it being accepted that theoretical models have not succeeded in describing MB behavior. Fourier transform (FT) based non-parametric spectral analysis methods are widely used but have limitations in spectral and temporal localization. This study is the first to incorporate receiver characteristics and introduce a parametric model for the estimation of temporal and spectral content of experimental echo signals. This study improves spectral analysis performance and helps understand MB behavior.

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Yan Y, Hopgood JR, Steel R, Sboros V. Statistical spectral analysis for echo signals from microbubbles and solid spheres. In IEEE Ultrasonics Symposium, 2008. IEEE. 2008. p. 1382-1385 https://doi.org/10.1109/ULTSYM.2008.0335