Ultrasound wave propagation in tissue and scattering from microbubbles for echo particle image velocimetry technique.
Nonlinear wave propagation in tissue can be employed for tissue harmonic imaging, ultrasound surgery, and more effective tissue ablation for high intensity focused ultrasound (HIFU). Wave propagation in soft tissue and scattering from microbubbles (ultrasound contrast agents) are modeled to improve detectability, signal-to-noise ratio, and contrast harmonic imaging used for echo particle image velocimetry (Echo-PIV) technique. The wave motion in nonlinear material (tissue) is studied using KZK-type parabolic evolution equation. This model considers ultrasound beam diffraction, attenuation, and tissue nonlinearity. Time-domain numerical model is based on that originally developed by Lee and Hamilton [J. Acoust. Soc. Am 97:906-917 (1995)] for axi-symmetric acoustic field. The initial acoustic waveform emitted from the transducer is assumed to be a broadband wave modulated by Gaussian envelope. Scattering from microbubbles seeded in the blood stream is characterized. Hence, we compute the pressure field impinges the wall of a coated microbubble; the dynamics of oscillating microbubble can be modeled using Rayleigh-Plesset-type equation. Here, the continuity and the radial-momentum equation of encapsulated microbubbles are used to account for the lipid layer surrounding the microbubble. Numerical results show the effects of tissue and microbubble nonlinearities on the propagating pressure wave field. These nonlinearities have a strong influence on the waveform distortion and harmonic generation of the propagating and scattering waves. Results also show that microbubbles have stronger nonlinearity than tissue, and thus improves S/N ratio. These theoretical predictions of wave phenomena provide further understanding of biomedical imaging technique and provide better system design.
Mukdadi
Osama
O
Department of Mechanical Engineering, University of Colorado, Boulder, CO 80309, USA.
Shandas
Robin
R
D003198:Computer Simulation; D003238:Connective Tissue / Q000000981:diagnostic imaging* / Q000502:physiology*; D004735:Energy Transfer / Q000502:physiology*; D018056:Hemorheology / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted; D045423:Microbubbles; D008954:Models, Biological; D008955:Models, Cardiovascular; D012212:Rheology / Q000379:methods; D012542:Scattering, Radiation; D014463:Ultrasonography / Q000379:methods*