Tissue harmonic imaging

In this paper results from a non-linear AS (angular spectrum) based ultrasound simulation program are compared to water-tank measurements. A circular concave transducer with a diameter of 1 inch (25.4 mm) is used as the emitting source. The measured pulses are first compared with the linear simulation program Field II, which will be used to generate the source for the AS simulation. The generated non-linear ultrasound field is measured by a hydrophone in the focal plane. The second harmonic component from the measurement is compared with the AS simulation, which is used to calculate both fundamental and second harmonic fields. The focused piston transducer with a center frequency of 5 MHz is excited by a waveform generator emitting a 6-cycle sine wave. The hydrophone is mounted in the focal plane 118 mm from the transducer. The point spread functions at the focal depth from Field II and measurements are illustrated. The FWHM (full width at half maximum) values are 1.96 mm for the measurement and 1.84 mm for the Field II simulation. The fundamental and second harmonic components of the experimental results are plotted compared with the AS simulations. The RMS (root mean square) errors of the AS simulations are 7.19% and 10.3% compared with the fundamental and second harmonic components of the measurements.

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“…[24][25][26] The signal at the focal point in the coordinate (x = 0, y = 0, z 1 = 118) mm as shown in Fig. 1 is measured twice.…”

Section: Discussion Of Future Workmentioning

confidence: 99%

Comparison of simulated and measured nonlinear ultrasound fields

Jensen²,

Jensen

2011

SPIE Proceedings

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“…However, the contrast in second harmonic imaging is limited by the presence of second harmonic in the echo of the surrounding tissue [6]. To overcome this limitation, sub and ultraharmonic imaging can be used.…”

Section: Introductionmentioning

confidence: 99%

Complexity reduction of ultrasound sub-ultra-harmonic modeling by an input modified volterra approach

Sbeity

Ménigot

Kanbar

et al. 2017

2017 IEEE International Ultrasonics Symposium (IUS)

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“…1 Publications on THI began with a trio of papers in 1997 by Averkiou et al, 2 Ward et al, 3 and Christopher. 4 These and more recent papers [5][6][7][8][9][10][11][12] (see also the list of citations in Ref.…”

Section: Introductionmentioning

confidence: 99%

Statistical model of clutter suppression in tissue harmonic imaging

Yan

Hamilton

2011

The Journal of the Acoustical Society of America

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A statistical model is developed for the suppression of clutter in tissue harmonic imaging (THI). Tissue heterogeneity is modeled as a random phase screen that is characterized by its correlation length and variance. With the autocorrelation function taken to be Gaussian and for small variance, statistical solutions are derived for the mean intensities at the fundamental and second-harmonic frequencies in the field of a focused sound beam that propagates through the phase screen. The statistical solutions are verified by comparison with ensemble averaging of direct numerical simulations. The model demonstrates that THI reduces the aberration clutter appearing in the focal region regardless of the depth of the aberrating layer, with suppression of the clutter most effective when the layer is close to the source. The model is also applied to the reverberation clutter that is transmitted forward along the axis of the beam. As with aberration clutter, suppression of such reverberation clutter by THI is most pronounced when the tissue heterogeneity is located close to the source.

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Tissue harmonic imaging

Cited by 101 publications

References 10 publications

Comparison of simulated and measured nonlinear ultrasound fields

Comparison of simulated and measured nonlinear ultrasound fields

Complexity reduction of ultrasound sub-ultra-harmonic modeling by an input modified volterra approach

Statistical model of clutter suppression in tissue harmonic imaging

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