2012 Proceedings - International Tissue Elasticity Conference
2012 Proceedings - International Tissue Elasticity Conference
2012 Proceedings - International Tissue Elasticity Conference
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049 SHEAR WAVE SPEED AND DISPERSION MEASUREMENT USING INTERFERENCE PATTERNS<br />
FROM A SPECIALLY DESIGNED CHIRP SIGNAL.<br />
Zaegyoo Hah 1 , Alexander Partin 1 , Kevin J. Parker 1 .<br />
1 Electrical and Computer Engineering Department, University of Rochester, Rochester, NY, USA.<br />
Background: There is a growing need to measure not just shear elasticity (or shear speed) but shear<br />
speed dispersion. For example, there is a big concern about nonalcoholic fatty liver disease (NAFLD), a<br />
major cause of chronic liver disease. It is understood that increasing amounts of fat in the normal liver<br />
will increase the dispersion (that is, the frequency dependence or slope) of the shear wave speed [1].<br />
Normally, the dispersion measurements are done separately at several selected frequencies within a<br />
range. Shear speeds are then calculated at each frequency, and regressions of the data result in the<br />
shear speed dispersion [2]. However, there are inherent problems with this method: signal–to–noise ratio<br />
(SNR), measurement time and safety. Therefore, to optimize measurement time and SNR, it would be<br />
advantageous to use chirps sweeping over a frequency range.<br />
Aims: A measurement procedure using a chirp scanning over a range of frequency is introduced. Also<br />
analysis has been performed to provide a systematic way of measuring the shear speed and dispersion.<br />
Methods: Some biomaterials including a 10% gelatin phantom, a fatty phantom with 10% gelatin and<br />
30% safflower oil, and a fatty phantom with 15% gelatin and 30% castor oil are chosen for this study. All<br />
the test biomaterials are assumed to be homogeneous. The biomaterial is vibrated by two mechanical<br />
sources (Brüel & Kjaer, Model 2706, Naerum, Denmark) on both ends of the material such that an<br />
interference pattern is generated inside the medium. A chirp signal, instead of a fixed frequency signal, is<br />
used to drive the sources from 100Hz to 300Hz. The medium is scanned by an ultrasound imaging<br />
system (GE Healthcare, Logiq9, Milwaukee, WI, USA), and the movie is saved. The average motion slice<br />
image (Figure 1) is dependent on the chirp: the motion slice has a hyperbolic shape as shown in Figure<br />
2a for a linear chirp. A special chirp is designed to produce the fan-shaped motion slice in Figure 2b,<br />
thereby providing the advantage of easy smoothing and image processing. Further analysis is performed<br />
to provide a closed form solution for the shear speed and dispersion. Measurement results are compared<br />
to those obtained by single frequency measurements.<br />
Results: The safflower oil phantom was measured to have (3.5m/s, ∙10 2 -4 m/s/Hz) of shear speed and<br />
dispersion respectively, while the castor oil and the gelatin phantom showed (4.4m/s, 6∙10 -4 m/s/Hz) and<br />
(3.0m/s, 3∙10-6 m/s/Hz). These results were compared with the conventional methods using either phase<br />
map or waveform fitting. Single frequency measurements for the safflower oil, for example, showed some<br />
fluctuations: 3.43, 3.62, 3.53, 3.52m/s at 110, 130, 150 and 200Hz respectively.<br />
Conclusions: The developed method of shear speed and dispersion measurement provides advantages<br />
over the conventional methods. It is much faster, more robust and easily implemented. The techniques<br />
will be further applied to other biomaterials and the liver.<br />
References:<br />
[1] CT Barry, B Mills, Z Hah, RA Mooney, CK Ryan, DJ Rubens, KJ Parker: Shear Wave Dispersion Measures Liver<br />
Steatosis. Ultrasound Med Biol, 38(2), pp. 175–182, <strong>2012</strong>.<br />
[2] Z. Hah, A. Partin, C.T. Barry, R.A. Mooney, D.J. Rubens, K.J. Parker: Dispersion and Shear–Wave Velocity in a<br />
Mouse–Liver Model using Crawling Waves. Ultrasonic Imaging and <strong>Tissue</strong> Characterization Symposium, Rosslyn,<br />
VA, 11–13 June, <strong>2012</strong>.<br />
Figure 1 Figure 2a Figure 2b<br />
indicates Presenter 119