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Use of the Cross-Spectral Density Matrix for Enhanced Passive Ultrasound Imaging of Cavitation.

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Title: Use of the Cross-Spectral Density Matrix for Enhanced Passive Ultrasound Imaging of Cavitation.
Authors: Polichetti, Maxime1 (AUTHOR) maxime.polichetti@creatis.insa-lyon.fr, Varray, Francois1 (AUTHOR), Gilles, Bruno2 (AUTHOR), Bera, Jean-Christophe2 (AUTHOR), Nicolas, Barbara1 (AUTHOR)
Source: IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control. Apr2021, Vol. 68, p910-925. 16p.
Subjects: Ultrasonic imaging, Density matrices, Cavitation, Multiple Signal Classification, Contrast-enhanced ultrasound, Estimation theory
Abstract: Passive ultrasound imaging is of great interest for cavitation monitoring. Spatiotemporal monitoring of cavitation bubbles in therapeutic applications is possible using an ultrasound imaging probe to passively receive the acoustic signals from the bubbles. Fourier-domain (FD) beamformers have been proposed to process the signals received into maps of the spatial localization of cavitation activity, with reduced computing times with respect to the time-domain approach, and to take advantage of frequency selectivity for cavitation regime characterization. The approaches proposed have been mainly nonadaptive, and these have suffered from low resolution and contrast, due to the many reconstruction artifacts. Inspired by the array-processing literature and in the context of passive ultrasound imaging of cavitation, we propose here a robust estimation of the second-order statistics of data through spatial covariance matrices in the FD or cross-spectral density matrices (CSMs). The benefits of such formalism are illustrated using advanced reconstruction algorithms, such as the robust Capon beamformer, the Pisarenko class beamformer, and the multiple signal classification approach. Through both simulations and experiments in a water tank, we demonstrate that enhanced localization of cavitation activity (i.e., improved resolution and contrast with respect to nonadaptive approaches) is compatible with the rapid and frequency-selective approaches of the FD. Robust estimation of the CSM and the derived adaptive beamformers paves the way to the development of powerful passive ultrasound imaging tools. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 149553469
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PubTypeId: academicJournal
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  Label: Title
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  Data: Use of the Cross-Spectral Density Matrix for Enhanced Passive Ultrasound Imaging of Cavitation.
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  Data: <searchLink fieldCode="AR" term="%22Polichetti%2C+Maxime%22">Polichetti, Maxime</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> maxime.polichetti@creatis.insa-lyon.fr</i><br /><searchLink fieldCode="AR" term="%22Varray%2C+Francois%22">Varray, Francois</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gilles%2C+Bruno%22">Gilles, Bruno</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bera%2C+Jean-Christophe%22">Bera, Jean-Christophe</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nicolas%2C+Barbara%22">Nicolas, Barbara</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Ultrasonics+Ferroelectrics+%26+Frequency+Control%22">IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control</searchLink>. Apr2021, Vol. 68, p910-925. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Ultrasonic+imaging%22">Ultrasonic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Density+matrices%22">Density matrices</searchLink><br /><searchLink fieldCode="DE" term="%22Cavitation%22">Cavitation</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+Signal+Classification%22">Multiple Signal Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Contrast-enhanced+ultrasound%22">Contrast-enhanced ultrasound</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink>
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  Label: Abstract
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  Data: Passive ultrasound imaging is of great interest for cavitation monitoring. Spatiotemporal monitoring of cavitation bubbles in therapeutic applications is possible using an ultrasound imaging probe to passively receive the acoustic signals from the bubbles. Fourier-domain (FD) beamformers have been proposed to process the signals received into maps of the spatial localization of cavitation activity, with reduced computing times with respect to the time-domain approach, and to take advantage of frequency selectivity for cavitation regime characterization. The approaches proposed have been mainly nonadaptive, and these have suffered from low resolution and contrast, due to the many reconstruction artifacts. Inspired by the array-processing literature and in the context of passive ultrasound imaging of cavitation, we propose here a robust estimation of the second-order statistics of data through spatial covariance matrices in the FD or cross-spectral density matrices (CSMs). The benefits of such formalism are illustrated using advanced reconstruction algorithms, such as the robust Capon beamformer, the Pisarenko class beamformer, and the multiple signal classification approach. Through both simulations and experiments in a water tank, we demonstrate that enhanced localization of cavitation activity (i.e., improved resolution and contrast with respect to nonadaptive approaches) is compatible with the rapid and frequency-selective approaches of the FD. Robust estimation of the CSM and the derived adaptive beamformers paves the way to the development of powerful passive ultrasound imaging tools. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TUFFC.2020.3032345
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 910
    Subjects:
      – SubjectFull: Ultrasonic imaging
        Type: general
      – SubjectFull: Density matrices
        Type: general
      – SubjectFull: Cavitation
        Type: general
      – SubjectFull: Multiple Signal Classification
        Type: general
      – SubjectFull: Contrast-enhanced ultrasound
        Type: general
      – SubjectFull: Estimation theory
        Type: general
    Titles:
      – TitleFull: Use of the Cross-Spectral Density Matrix for Enhanced Passive Ultrasound Imaging of Cavitation.
        Type: main
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          Name:
            NameFull: Polichetti, Maxime
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            NameFull: Varray, Francois
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            NameFull: Gilles, Bruno
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            NameFull: Bera, Jean-Christophe
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            NameFull: Nicolas, Barbara
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            – D: 01
              M: 04
              Text: Apr2021
              Type: published
              Y: 2021
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              Value: 68
          Titles:
            – TitleFull: IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control
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