High-intensity rocket noise: Nonlinear propagation, atmospheric absorption, and characterization

2005 ◽  
Vol 117 (2) ◽  
pp. 578-591 ◽  
Author(s):  
Sally Anne McInerny ◽  
Semih M. Ölçmen
Keyword(s):  
High Intensity ◽  
Nonlinear Propagation ◽  
Atmospheric Absorption

Nonlinear Derating of High-Intensity Therapeutic Ultrasound Beams Using Gaussian Modal Sums

2013 ◽  
Author(s):  
Seyed Ahmad Reza Dibaji ◽  
Matthew R. Myers ◽  
Joshua E. Soneson ◽  
Rupak K. Banerjee
Keyword(s):  
High Intensity ◽  
Focused Ultrasound ◽  
High Intensity Focused Ultrasound ◽  
Nonlinear Propagation ◽  
Tissue Temperature ◽  
Medical Procedure ◽  
Pressure Amplitude ◽  
Pressure Trace ◽  
The Difference ◽  
Semi Empirical

High intensity focused ultrasound (HIFU) is a noninvasive medical procedure during which a large amount of energy is deposited in a short duration which causes sudden localized rise in tissue temperature, and ultimately, cell necrosis. In assessing the influence of HIFU on biological tissue, semi-empirical mathematical models can be useful for predicting thermal effects. These models require values of the pressure amplitude in the tissue of interest, which can be difficult to obtain experimentally. One common method for estimating the pressure amplitude in tissue is to operate the HIFU transducer in water, measure the pressure amplitude, then multiply by a scaling factor that accounts for the difference in attenuation between water and tissue. This procedure can be accurate when the ultrasound amplitude is low, and the pressure trace in tissue is proportional to that in water. Because of this proportionality, the procedure for reducing the amplitude from water to tissue is called linear derating. At higher intensities, however, harmonics of the fundamental frequency are generated due to nonlinear propagation effects. Higher harmonics are attenuated differently in water and tissue (Hamilton and Blackstock [1]), and the pressure waves in water and tissue are no longer proportional to one another. Techniques for nonlinearly transforming pressure amplitudes measured in water to values appropriate for tissue are therefore desirable when bioeffects of higher intensity procedures are being studied. These techniques are labeled “nonlinear derating”.

Effects of soft tissue inhomogeneities on nonlinear propagation and shock formation in high intensity focused ultrasound beams

2017 ◽  
Vol 141 (5) ◽  
pp. 3548-3548 ◽  
Author(s):  
Petr V. Yuldashev ◽  
Anastasia S. Bobina ◽  
Tatiana D. Khokhlova ◽  
Adam D. Maxwell ◽  
Wayne Kreider ◽  
...  
Keyword(s):  
Soft Tissue ◽  
High Intensity ◽  
Focused Ultrasound ◽  
High Intensity Focused Ultrasound ◽  
Nonlinear Propagation ◽  
Shock Formation

Effects of nonlinear propagation, cavitation, and boiling in lesion formation by high intensity focused ultrasound in a gel phantom

2006 ◽  
Vol 119 (3) ◽  
pp. 1834-1848 ◽  
Author(s):  
Vera A. Khokhlova ◽  
Michael R. Bailey ◽  
Justin A. Reed ◽  
Bryan W. Cunitz ◽  
Peter J. Kaczkowski ◽  
...  
Keyword(s):  
High Intensity ◽  
Focused Ultrasound ◽  
High Intensity Focused Ultrasound ◽  
Nonlinear Propagation ◽  
Lesion Formation ◽  
Gel Phantom

Influence of source level, peak frequency, and atmospheric absorption on nonlinear propagation of rocket noise

2014 ◽  
Vol 136 (4) ◽  
pp. 2169-2169
Author(s):  
Michael F. Pearson ◽  
Kent L. Gee ◽  
Tracianne B. Neilsen ◽  
Brent O. Reichman ◽  
Michael M. James ◽  
...  
Keyword(s):  
Peak Frequency ◽  
Nonlinear Propagation ◽  
Atmospheric Absorption ◽  
Source Level

scholarly journals Effects of Nonlinear Propagation of Focused Ultrasound on the Stable Cavitation of a Single Bubble

Acoustics ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 14-34 ◽  
Author(s):  
Marjan Bakhtiari-Nejad ◽  
Shima Shahab
Keyword(s):  
Acoustic Field ◽  
High Intensity ◽  
Focused Ultrasound ◽  
Bubble Dynamics ◽  
Translational Motion ◽  
High Intensity Focused Ultrasound ◽  
Nonlinear Propagation ◽  
Resonance Excitation ◽  
Acoustic Nonlinearity ◽  
Shape Oscillations

Many biomedical applications such as ultrasonic targeted drug delivery, gene therapy, and molecular imaging entail the problems of manipulating microbubbles by means of a high-intensity focused ultrasound (HIFU) pressure field; namely stable cavitation. In high-intensity acoustic field, bubbles demonstrate translational instability, the well-known erratic dancing motion, which is caused by shape oscillations of the bubbles that are excited by their volume oscillations. The literature of bubble dynamics in the HIFU field is mainly centered on experiments, lacking a systematic study to determine the threshold for shape oscillations and translational motion. In this work, we extend the existing multiphysics mathematical modeling platform on bubble dynamics for taking account of (1) the liquid compressibility which allows us to apply a high-intensity acoustic field; (2) the mutual interactions of volume pulsation, shape modes, and translational motion; as well as (3) the effects of nonlinearity, diffraction, and absorption of HIFU to incorporate the acoustic nonlinearity due to wave kinematics or medium—all in one model. The effects of acoustic nonlinearity on the radial pulsations, axisymmetric modes of shape oscillations, and translational motion of a bubble, subjected to resonance and off-resonance excitation and various acoustic pressure, are examined. The results reveal the importance of considering all the involved harmonics and wave distortion in the bubble dynamics, to accurately predict the oscillations, translational trajectories, and the threshold for inertial (unstable) cavitation. This result is of interest for understanding the bubble dynamical behaviors observed experimentally in the HIFU field.

The nonlinear propagation of acoustic noise

1982 ◽  
Vol 383 (1784) ◽  
pp. 55-70 ◽  
Keyword(s):  
High Intensity ◽  
Functional Form ◽  
Noise Source ◽  
Acoustic Noise ◽  
Noise Spectrum ◽  
Nonlinear Propagation ◽  
Source Spectrum ◽  
Complete Spectrum ◽  
High Frequencies

This paper is concerned with the nonlinear propagation of high-intensity acoustic noise. The noise source is assumed to have a smooth, Gaussian output. The medium in which the noise propagates is assumed lossless. The noise spectrum given by Rudenko & Soluyan (1977) is found to be incorrect at arbitrary distance from the source, owing to the presence of shocks. However, for small ranges, where shocks are not too frequent, it is shown to be valid at the lower frequency ranges. At high frequencies, how­ever, the noise spectrum is substantially different. The correction to the Rudenko & Soluyan spectrum at all frequencies for small ranges is derived. This correction has a universal functional form, which is calculated numerically. If the noise is so smooth that the source spectrum is exponentially decaying at high frequencies in the range of interest, then the complete spectrum has a similarity form at these high frequencies. The resulting spectrum describes the transition from the ω -3 form of Rudenko & Soluyan to the ω -2 form typical of a waveform containing shocks.

Multiphysics Modeling of Liver Tumor Ablation by High Intensity Focused Ultrasound

2015 ◽  
Vol 18 (4) ◽  
pp. 1050-1071 ◽  
Author(s):  
Maxim Solovchuk ◽  
Tony Wen-Hann Sheu ◽  
Marc Thiriet
Keyword(s):  
Blood Vessel ◽  
Treatment Planning ◽  
High Intensity ◽  
Focused Ultrasound ◽  
Treatment Time ◽  
Acoustic Streaming ◽  
Tumor Ablation ◽  
High Intensity Focused Ultrasound ◽  
Nonlinear Propagation ◽  
Physical Fields

AbstractHigh intensity focused ultrasound is a rapidly developing technology for the ablation of tumors. Liver cancer is one of the most common malignancies worldwide. Since liver has a large number of blood vessels, blood flow cooling can reduce the necrosed volume and may cause regeneration of the tumor to occur. All cancer cells should be ablated without damaging of the critical tissues. Today, treatment planning tools consider liver as a homogeneous organ. This paper is a step towards the development of surgical planning platform for a non-invasive HIFU tumor ablative therapy in a real liver geometry based on CT/MRI image. This task requires coupling of different physical fields: acoustic, thermal and hydrodynamic. These physical fields can influence each other. In this paper we illustrate how a computational model can be used to improve the treatment efficiency. In large blood vessel both convective cooling and acoustic streaming can change the temperature considerably near blood vessel. The whole tumor ablation took only 30 seconds in the considered simulation case, which is very small comparing with the current treatment time of several hours. Through this study we are convinced that high ultrasound power and nonlinear propagation effects with appropriate treatment planning can sufficiently reduce the treatment time.

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