Influence of Temperature-Dependent Thermal Parameters on Temperature Elevation of Tissue Exposed to High-Intensity Focused Ultrasound: Numerical Simulation

Guntur, Sitaramanjaneya Reddy; Choi, Min Joo

doi:10.1016/j.ultrasmedbio.2014.10.008

Cited by 20 publications

(16 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In tissues, several acoustic and thermal properties are temperature-dependent in ablative temperature ranges [33, 49,50]. Although it is beyond the scope of this study, a few studies have aimed to incorporate thermally dynamic tissue properties into simulations [10,12].…”

Section: Discussionmentioning

confidence: 99%

“…Several approaches to modeling FUS acoustic pressure and Q patterns in tissues have been developed. Finite-difference approaches to the Khoklov-Zabolotskaya-Kuznetsov (KZK) [11,12] and Westervelt equations [13] for modeling non-linear acoustic propagation, or the Helmholtz equation [14–16] for linear propagation are commonly implemented, but are computationally expensive for clinical use. Numerous studies have improved the computation time of these models using methods such as the boundary element method, [14,17,18] or improving upon the FDTD approach with pseudo-spectral k-space methods, [19,20] or by applying approximations of temporal derivatives [21].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms

Johnson

Christensen

Dillon

et al. 2018

International Journal of Hyperthermia

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms

Johnson

Christensen

Dillon

et al. 2018

International Journal of Hyperthermia

View full text Add to dashboard Cite

show abstract

“…Rossmann and Haemmerich (2014) reviewed temperature-dependent thermal and electrical properties of biological tissues in the supraphysiological temperature regime. Guntur and Choi (2015) examined the effects of temperature-dependent thermal parameters on the temperature distribution in liver tissue exposed to a clinical high-intensity focused ultrasound (HIFU) field, and found that alteration of tissue thermal parameters significantly affects the prediction of temperature distributions and suggest that the dependence of thermal parameters should be considered in estimation of the thermal dose in tissues exposed to a clinical HIFU field.…”

Section: Introductionmentioning

confidence: 99%

Variable thermal conductivity approach for bioheat transfer during thermal ablation

Kumar

Vashishth

Ghangas

2019

Arab Journal of Basic and Applied Sciences

View full text Add to dashboard Cite

The aim of the article is to present a mathematical model that predicts tissue temperature during thermal therapy (thermal ablation). The mathematical formulation of variable thermal conductivity of thermal wave bioheat transfer model for a generalized coordinate system due to external heat source during thermal ablation has been given. The governing bioheat transfer equation is simplified by Kirchhoff's transformation. The numerical solution of the problem has been achieved using a finite difference scheme to discretize in space coordinate; the reduced system of second order ordinary differential equation is solved by the finite element Legendre wavelet Galerkin method (FELWGM). The obtained result from FELWGM is compared with exact analytical solution and shows good agreement. Parametric study is performed to evaluate the effect of variable thermal conductivity on tissue temperature distribution for different physical parameters and illustrated graphically. Particular cases are also deduced from present investigation. The effect of variability of thermal conductivity parameter, variability of time, generalized coordinate system, lagging time and external heat source coefficient on tissue temperature is discussed in detail. Thus, the consideration of the variable thermal conductivity is extremely beneficial for the clinical therapeutic application in the treatment of cancerous cells.

show abstract

“…Unfortunately, it is difficult to accurately measure the thermal dose at a depth of the tissue in most clinical situations. Instead, a numerical simulation method is usually used to predict the transient temperature profiles and thermal dose to assess the thermal damage that will occur in tissue during HIFU ablation [9].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Dynamic Tissue Properties on HIFU Hyperthermia: A Numerical Simulation Study

et al. 2018

View full text Add to dashboard Cite

Accurate temperature and thermal dose prediction are crucial to high-intensity focused ultrasound (HIFU) hyperthermia, which has been used successfully for the non-invasive treatment of solid tumors. For the conventional method of prediction, the tissue properties are usually set as constants. However, the temperature rise induced by HIFU irradiation in tissues will cause changes in the tissue properties that in turn affect the acoustic and temperature field. Herein, an acoustic–thermal coupling model is presented to predict the temperature and thermal damage zone in tissue in terms of the Westervelt equation and Pennes bioheat transfer equation, and the individual influence of each dynamic tissue property and the joint effect of all of the dynamic tissue properties are studied. The simulation results show that the dynamic acoustic absorption coefficient has the greatest influence on the temperature and thermal damage zone among all of the individual dynamic tissue properties. In addition, compared with the conventional method, the dynamic acoustic absorption coefficient leads to a higher focal temperature and a larger thermal damage zone; on the contrary, the dynamic blood perfusion leads to a lower focal temperature and a smaller thermal damage zone. Moreover, the conventional method underestimates the focal temperature and the thermal damage zone, compared with the simulation that was performed using all of the dynamic tissue properties. The results of this study will be helpful to guide the doctors to develop more accurate clinical protocols for HIFU treatment planning.

show abstract

Influence of Temperature-Dependent Thermal Parameters on Temperature Elevation of Tissue Exposed to High-Intensity Focused Ultrasound: Numerical Simulation

Cited by 20 publications

References 27 publications

Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms

Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms

Variable thermal conductivity approach for bioheat transfer during thermal ablation

The Influence of Dynamic Tissue Properties on HIFU Hyperthermia: A Numerical Simulation Study

Contact Info

Product

Resources

About