Paper
2 April 1998 Intensity dependence of focused ultrasound lesion position
Paul M. Meaney, Mark D. Cahill, Gail R. ter Haar
Author Affiliations +
Proceedings Volume 3249, Surgical Applications of Energy; (1998) https://doi.org/10.1117/12.304348
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States
Abstract
Knowledge of the spatial distribution of intensity loss from an ultrasonic beam is critical to predicting lesion formation in focused ultrasound surgery. To date most models have used linear propagation models to predict the intensity profiles needed to compute the temporally varying temperature distributions. These can be used to compute thermal dose contours that can in turn be used to predict the extent of thermal damage. However, these simulations fail to adequately describe the abnormal lesion formation behavior observed for in vitro experiments in cases where the transducer drive levels are varied over a wide range. For these experiments, the extent of thermal damage has been observed to move significantly closer to the transducer with increasing transducer drive levels than would be predicted using linear propagation models. The simulations described herein, utilize the KZK (Khokhlov-Zabolotskaya-Kuznetsov) nonlinear propagation model with the parabolic approximation for highly focused ultrasound waves, to demonstrate that the positions of the peak intensity and the lesion do indeed move closer to the transducer. This illustrates that for accurate modeling of heating during FUS, nonlinear effects must be considered.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul M. Meaney, Mark D. Cahill, and Gail R. ter Haar "Intensity dependence of focused ultrasound lesion position", Proc. SPIE 3249, Surgical Applications of Energy, (2 April 1998); https://doi.org/10.1117/12.304348
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Cited by 7 scholarly publications.
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KEYWORDS
Transducers

Tissues

Ultrasonography

Liver

3D modeling

Signal attenuation

Thermal modeling

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