Comparison between experimental and computational methods for the acoustic and thermal characterization of therapeutic ultrasound fields

Maruvada, Subha; Liu, Yunbo; Soneson, Joshua E.; Herman, Bruce A.; Harris, Gerald R.

doi:10.1121/1.4916280

Cited by 16 publications

(10 citation statements)

References 30 publications

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“…Acoustic simulation methods are not easily validated against in situ experimental data involving an absorbing medium [13]; often novel methods are compared against existing models for determining accuracy [18,44]. Experimental validation requires a highly controlled environment with known input parameters, which can be difficult to achieve for FUS, particularly for in situ conditions [29]. This study sought to create such an environment with homogenous tissue-mimicking phantoms [32].…”

Section: Discussionmentioning

confidence: 99%

Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms

Johnson

Christensen

Dillon

et al. 2018

International Journal of Hyperthermia

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In focused ultrasound (FUS) thermal ablation of diseased tissue, acoustic beam and thermal simulations enable treatment planning and optimization. In this study, a treatment-planning methodology that uses the hybrid angular spectrum (HAS) method and the Pennes’ bioheat equation (PBHE) is experimentally validated in homogeneous tissue-mimicking phantoms. Simulated three-dimensional temperature profiles are compared to volumetric MR thermometry imaging (MRTI) of FUS sonications in the phantoms, whose acoustic and thermal properties are independently measured. Additionally, Monte Carlo (MC) uncertainty analysis is performed to quantify the effect of tissue property uncertainties on simulation results. The mean error between simulated and experimental spatiotemporal peak temperature rise was +0.33°C (+6.9%). Despite this error, the experimental temperature rise fell within the expected uncertainty of the simulation, as determined by the MC analysis. The average errors of the simulated transverse and longitudinal full width half maximum (FWHM) of the profiles were –1.9% and 7.5%, respectively. A linear regression and local sensitivity analysis revealed that simulated temperature amplitude is more sensitive to uncertainties in simulation inputs than in the profile width and shape. Acoustic power, acoustic attenuation and thermal conductivity had the greatest impact on peak temperature rise uncertainty; thermal conductivity and volumetric heat capacity had the greatest impact on FWHM uncertainty. This study validates that using the HAS and PBHE method can adequately predict temperature profiles from single sonications in homogeneous media. Further, it informs the need to accurately measure or predict patient-specific properties for improved treatment planning of ablative FUS surgeries.

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Section: Discussionmentioning

confidence: 99%

Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms

Johnson

Christensen

Dillon

et al. 2018

International Journal of Hyperthermia

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“…The FDA requires characterization of the focal zone for therapeutic ultrasound systems (Harris 2006). Numerical modeling can accurately predict the field at the transducer focus under operating conditions where hydrophone damage would be inevitable (Canney et al 2008, Maruvada et al 2015. Application of ( 16) is limited to prediction of the microbubble cloud (and therefore lesion) along the axial dimension of the histotripsy transducer.…”

Section: Metrics To Predict the Extent Of Bubble Activitymentioning

confidence: 99%

Predicting the growth of nanoscale nuclei by histotripsy pulses

Bader

Holland

2016

Phys. Med. Biol.

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Histotripsy is a focused ultrasound therapy that ablates tissue through the mechanical action of cavitation. Histotripsy-initiated cavitation activity is generated from shocked ultrasound pulses that scatter from incidental nuclei (shock scattering histotripsy), or purely tensile ultrasound pulses (microtripsy). The Yang/Church model was numerically integrated to predict the behavior of the cavitation nuclei exposed to measured shock scattering histotripsy pulses. The bubble motion exhibited expansion only behavior, suggesting that the ablative action of a histotripsy pulse is related to the maximum size of the bubble. The analytic model of Holland and Apfel was extended to predict the maximum size of cavitation nuclei for both shock scattering histotripsy and microtripsy excitations. The predictions of the analytic model and the numerical model agree within 2% for fully developed shock scattering histotripsy pulses (>72 MPa peak positive pressure). For shock scattering histotripsy pulses that are not fully developed (<72 MPa), the analytic model underestimated the maximum size by less than 5%. The analytic model was also used to predict bubble growth nucleated from microtripsy insonations, and was found to be consistent with experimental observations. Based on the extended analytic model, metrics were developed to predict the extent of the treatment zone from histotripsy pulses.

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“…50 Thermocouples may be chosen with dimensions that are small compared to a wavelength in order to minimize the distortion of the ultrasound field. 191,192 Computational modeling can complement experimental measurements for the characterization of MRgFUS device performance. Modeling of nonlinear propagation may be based on the KZK or Westervelt equation.…”

Section: Demonstration Of Effective Lesion Formationmentioning

confidence: 99%

AAPM Task Group 241: A medical physicist’s guide to MRI‐guided focused ultrasound body systems

Payne

Chopra

Ellens³

et al. 2021

Medical Physics

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Magnetic resonance‐guided focused ultrasound (MRgFUS) is a completely non‐invasive technology that has been approved by FDA to treat several diseases. This report, prepared by the American Association of Physicist in Medicine (AAPM) Task Group 241, provides background on MRgFUS technology with a focus on clinical body MRgFUS systems. The report addresses the issues of interest to the medical physics community, specific to the body MRgFUS system configuration, and provides recommendations on how to successfully implement and maintain a clinical MRgFUS program. The following sections describe the key features of typical MRgFUS systems and clinical workflow and provide key points and best practices for the medical physicist. Commonly used terms, metrics and physics are defined and sources of uncertainty that affect MRgFUS procedures are described. Finally, safety and quality assurance procedures are explained, the recommended role of the medical physicist in MRgFUS procedures is described, and regulatory requirements for planning clinical trials are detailed. Although this report is limited in scope to clinical body MRgFUS systems that are approved or currently undergoing clinical trials in the United States, much of the material presented is also applicable to systems designed for other applications.

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Comparison between experimental and computational methods for the acoustic and thermal characterization of therapeutic ultrasound fields

Cited by 16 publications

References 30 publications

Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms

Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms

Predicting the growth of nanoscale nuclei by histotripsy pulses

AAPM Task Group 241: A medical physicist’s guide to MRI‐guided focused ultrasound body systems

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