2008
DOI: 10.1121/1.2835662
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Characterization of high intensity focused ultrasound transducers using acoustic streaming

Abstract: A new approach for characterizing high intensity focused ultrasound (HIFU) transducers is presented. The technique is based upon the acoustic streaming field generated by absorption of the HIFU beam in a liquid medium. The streaming field is quantified using digital particle image velocimetry, and a numerical algorithm is employed to compute the acoustic intensity field giving rise to the observed streaming field. The method as presented here is applicable to moderate intensity regimes, above the intensities w… Show more

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Cited by 35 publications
(17 citation statements)
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“…II, and discussed in more detail in Hariharan et al ͑2008͒, were performed using the three HIFU transducers featured in Table I. All experiments were performed in the 12 cP Natrosol medium, using the DPIV protocol described in Hariharan et al ͑2008͒. Intensity fields for the three transducers were derived from the streaming velocity fields using the GCF and FD direct methods.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…II, and discussed in more detail in Hariharan et al ͑2008͒, were performed using the three HIFU transducers featured in Table I. All experiments were performed in the 12 cP Natrosol medium, using the DPIV protocol described in Hariharan et al ͑2008͒. Intensity fields for the three transducers were derived from the streaming velocity fields using the GCF and FD direct methods.…”
Section: Resultsmentioning
confidence: 99%
“…͑2.6͒ are extracted from the finite-element calculations performed in the iterative method of Hariharan et al ͑2008͒, it can be seen that the second radial derivative possesses an approximately Gaussian shape as a function of radial position. We therefore assume a profile of the form…”
Section: A Gaussian Curve Fitting "Gcf… Methodsmentioning
confidence: 99%
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“…Execution of the optimization algorithm required to attain the focal location required approximately 5 min using the exhaustive marching algorithm to search. Implementation of a more sophisticated optimization algorithm (e.g., Hariharan et al [11]) could reduce the localization time considerably, though care must be taken to ensure that the convergence properties are well understood.…”
Section: Discussionmentioning
confidence: 99%
“…although inverse methods have been applied outside ultrasound applications [9], [10], few studies have used inverse methods in conjunction with ultrasound phantoms. Hariharan et al [11] employed an inverse algorithm to back calculate the acoustic intensity on the basis of the ultrasound-induced streaming velocities measured in a liquid medium. o'neill et al [6] moved the focused ultrasound beam focus to 6 locations relative to a single thermocouple, and used a fitting procedure to predict the coordinates of the thermocouple relative to the beam locations.…”
Section: Introductionmentioning
confidence: 99%