Acoustic Sizing of an Ultrasound Contrast Agent

Maresca, David; Emmer, Marcia; Neer, P.L.M.J. van; Vos, Hendrik J.; Versluis, Michel; Müller, Marie; Jong, Nico de; Steen, Antonius F.W. van der

doi:10.1016/j.ultrasmedbio.2010.06.014

Cited by 21 publications

(21 citation statements)

References 33 publications

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“…For a free gas bubble, the RPNNP equation is used, while a modified Herring equation is solved for the time-dependent bubble radius and wall velocity; these outputs are used to formulate the predicted echo from a single encapsulated bubble (Morgan et al 2000). Second, the size distribution of an ultrasound contrast agent (UCA) can be obtained; standard particle size analyzers can be used to measure the size distribution in vitro (Alter et al 2009), while some acoustic sizing methods have been developed to estimate the size distribution of a type of UCA in vivo (Coussios et al 2004;Sijl et al 2008;Maresca et al 2010). Therefore, a clear size distribution can be known for a given UCA.…”

Section: Cbwt Imaging Methodsmentioning

confidence: 99%

Cavitation Imaging in Tissues

Zhong

Chen

et al. 2015

Cavitation in Biomedicine

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Section: Cbwt Imaging Methodsmentioning

confidence: 99%

Cavitation Imaging in Tissues

Zhong

Chen

et al. 2015

Cavitation in Biomedicine

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“…35 These oscillations were the focus of the second theoretical model assessed in this study, which utilized an equation for single bubble dynamics. 20 The Marmottant model is based upon a modified Rayleigh-Plesset equation and introduces a variable surface tension coefficient based upon the instantaneous radius of the bubble.…”

Section: B Scattering From Ucasmentioning

confidence: 99%

Estimating concentration of ultrasound contrast agents with backscatter coefficients: Experimental and theoretical aspects

Leithem¹,

Lavarello²,

O’Brien³

et al. 2012

The Journal of the Acoustical Society of America

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Ultrasound contrast agents (UCAs) have been explored as a means to enhance therapeutic techniques. Because the effectiveness of these techniques relies on the UCA concentration at a target site, it would be beneficial to estimate UCA concentration noninvasively. In this study, a noninvasive method for estimating UCA concentration was developed in vitro. Backscatter coefficients (BSCs) estimated from measurements of Definity V R UCAs were fitted to a theoretical scattering model in the 15-25 MHz range using a Levenberg-Marquardt regression technique. The model was defined by the UCA size distribution and concentration, and therefore concentration estimates were extracted directly from the fit. Calculation of the BSC was accomplished using planar reference measurements from the back wall of a Plexiglas V R chamber and an average of 500 snapshots of ultrasonic backscatter from UCAs flowing through the chamber. In order to verify the ultrasonically derived UCA concentration estimates, a sample of the UCAs was extracted from the flow path and the concentration was estimated with a hemacytometer. UCA concentrations of 1, 2, and 5 times the dose recommended by the manufacturer were used in experiments. All BSC-based estimates were within one standard deviation of hemacytometer based estimates for peak rarefactional pressures of 100-400 kPa.

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“…15 Techniques in which isolated microbubbles are manipulated or confined within a capillary or a flow channel can overcome these limitations to some degree. 10,11 However, the confinement may hinder free motion of the microbubbles 16 and may influence the driving acoustic field and the reradiated pressure levels.…”

mentioning

confidence: 99%

“…The uncertainty of the optical size measurement combining the random and the systematic error was 0.1 lm based on an evaluation following Ref. 11.…”

mentioning

confidence: 99%

Combined optical sizing and acoustical characterization of single freely-floating microbubbles

Luan

Renaud

Raymond

et al. 2016

Applied Physics Letters

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In this study we present a combined optical sizing and acoustical characterization technique for the study of the dynamics of single freely-floating ultrasound contrast agent microbubbles exposed to long burst ultrasound excitations up to the milliseconds range. A co-axial flow device was used to position individual microbubbles on a streamline within the confocal region of three ultrasound transducers and a high-resolution microscope objective. Bright-field images of microbubbles passing through the confocal region were captured using a high-speed camera synchronized to the acoustical data acquisition to assess the microbubble response to a 1-MHz ultrasound burst. Nonlinear bubble vibrations were identified at a driving pressure as low as 50 kPa. The results demonstrate good agreement with numerical simulations based on the shell-buckling model proposed by Marmottant et al. [J. Acoust. Soc. Am. 118, 3499–3505 (2005)]. The system demonstrates the potential for a high-throughput in vitro characterization of individual microbubbles.

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Acoustic Sizing of an Ultrasound Contrast Agent

Cited by 21 publications

References 33 publications

Cavitation Imaging in Tissues

Cavitation Imaging in Tissues

Estimating concentration of ultrasound contrast agents with backscatter coefficients: Experimental and theoretical aspects

Combined optical sizing and acoustical characterization of single freely-floating microbubbles

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