2013
DOI: 10.1121/1.4812881
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Experimentally validated multiphysics computational model of focusing and shock wave formation in an electromagnetic lithotripter

Abstract: A multiphysics computational model of the focusing of an acoustic pulse and subsequent shock wave formation that occurs during extracorporeal shock wave lithotripsy is presented. In the electromagnetic lithotripter modeled in this work the focusing is achieved via a polystyrene acoustic lens. The transition of the acoustic pulse through the solid lens is modeled by the linear elasticity equations and the subsequent shock wave formation in water is modeled by the Euler equations with a Tait equation of state. B… Show more

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Cited by 9 publications
(11 citation statements)
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References 33 publications
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“…The measured location of peak jp − j is ∼30 mm prefocal with the original lens and ≥60 mm with the new lens, although a minimum in jp − j occurs ∼5 mm prefocally, which corresponds to the location of strongest acoustic cancellation effects from in situ pulse superposition. The general trend in pressure distribution and acoustic focal shift has been confirmed by simulation results from a multiphysics model of shock wave focusing through the original and new lenses (30). In the case of the original lens, the multiphysics model was used to estimate prefocal shift (∼30 mm) at a high source voltage (18.1 kV) where FOPH measurements became impractical owing to interference from strong prefocal cavitation activity.…”
Section: Resultsmentioning
confidence: 67%
See 1 more Smart Citation
“…The measured location of peak jp − j is ∼30 mm prefocal with the original lens and ≥60 mm with the new lens, although a minimum in jp − j occurs ∼5 mm prefocally, which corresponds to the location of strongest acoustic cancellation effects from in situ pulse superposition. The general trend in pressure distribution and acoustic focal shift has been confirmed by simulation results from a multiphysics model of shock wave focusing through the original and new lenses (30). In the case of the original lens, the multiphysics model was used to estimate prefocal shift (∼30 mm) at a high source voltage (18.1 kV) where FOPH measurements became impractical owing to interference from strong prefocal cavitation activity.…”
Section: Resultsmentioning
confidence: 67%
“…To estimate the acoustic focusing distance of the new lens at various source voltages, a multiphysics computational model of wave propagation for EM shock wave lithotripters was used (see SI Materials and Methods for further details and Fig. 2 C and D for representative computational results) (30). After determination of critical geometric parameters from pilot experiments and modeling, the new lens was machined from a 6-inch-diameter solid cylinder of Rexolite 1422 cross-linked polystyrene (SI Materials and Methods).…”
Section: Methodsmentioning
confidence: 99%
“…Relationships between stone size and comminution efficiency were also investigated by numerical simulations using the axisymmetric elasticity solver within the BEARCLAW finite- volume code (Fovargue et al 2013). This is a high-resolution method that uses second-order Riemann solvers and flux limiters (Langseth 1995) to accurately capture sharp gradients, as produced by LSWs with fast rise time or obtained by sharp changes in material properties.…”
Section: Methodsmentioning
confidence: 99%
“…2a). Simulations were carried out for both radially uniform pressure pulses, and validated radial pressure distributions produced by the Siemens Modularis lithotripter (Fovargue et al 2013). The radially uniform incident LSW pulses allow us to assess the effect of stone size on resultant stress field without the influence of the lithotripter focal width (Cleveland and Sapozhnikov 2005).…”
Section: Methodsmentioning
confidence: 99%
“…Previous computational efforts on simulating SWL have mostly been focused on either the fluid part of the problem, particularly the flow dynamics of cavitation bubbles interacting with shock waves and rigid solids 11,12,[24][25][26][27][28][29] or the solid part, particularly the evolution of stress in a stone or soft tissue under LSW loading. [30][31][32] For example, in the study of Johnsen and Colonius, 11 the authors applied a finite difference 2-phase flow solver to simulate shock-induced collapse of a bubble near a kidney stone, in which the stone is rigidly fixed.…”
Section: Introductionmentioning
confidence: 99%