MEASURE KNOWN TISSUE ELASTICITIES WITH SHEAR WAVE SYSTEMS
- Certified shear wave speed measurements
- Ensure over ten years of reliable use through reinspection and repair services
Best in industry four-year warranty
Shear wave elasticity imaging is an emerging biomarker with many possible applications, most prominently for determining the stage of liver fibrosis in a patient without the need for invasive biopsies. The design of the Shear Wave Liver Fibrosis Phantom, Model 039, was developed and validated in a joint study sponsored by the Quantitative Imaging Biomarker Alliance, and serves as the standard reference tool for determining sources of variance in shear wave elasticity measurements (see references on page 2 of data sheet).
Our Model 039 consists of four phantoms – each filled with Zerdine® gel formulated with differing values of Young’s modulus, a tissue-average speed of sound of 1540 m/s and speckle contrast levels matching that of a healthy liver.
Certification of Young’s modulus will be provided with each phantom for proof of measurements with a precision of +/- 4%. Young’s modulus is tested on batch samples following ASTM standard D575-91 to ensure accurate elasticity. Density will also be measured to allow accurate conversion of shear wave speed to shear wave modulus and Young’s modulus.
Model 039 comes with a carry case for easy transport and phantom set up.
Key Features for Model 039:
The model 039 set contains phantoms with Young’s Modulus Values spanning the range healthy livers to those with cirrhosis, as follows:
- Phantom 1: 2 kPa
- Phantom 2: 8 kPa
- Phantom 3: 18 kPa
- Phantom 4: 36 kPa
Custom versions of this phantom, with different values for Young’s modulus and different sizes, are available upon special request. CIRS can also produce viscoelastic versions of this phantom.
Song, P., Zhao, H., Urban, M., Manduca, A., Mellema, D., Greenleaf, J., & Chen, S. (n.d.). Dual-frequency shear wave motion detection. 2014 IEEE International Ultrasonics Symposium. View
Song, P., Macdonald, M., Behler, R., Lanning, J., Wang, M., Urban, M., . . . Chen, S. (n.d.). Shear wave elastography on the GE LOGIQ E9 with Comb-push Ultrasound Shear Elastography (CUSE) and time aligned sequential tracking (TAST). 2014 IEEE International Ultrasonics Symposium. View
Zhao, H., Song, P., Meixner, D., Kinnick, R., Callstrom, M., Sanchez, W., . . . Chen, S. (n.d.). Liver elasticity imaging using external Vibration Multi-directional Ultrasound Shearwave Elastography (EVMUSE). 2014 IEEE International Ultrasonics Symposium. View
Shin HJ, Kim MJ, Kim HY, Roh YH, Lee MJ. Comparison of shear wave velocities on ultrasound elastography between different machines, transducers, and acquisition depths: a phantom study. Eur Radiol. 2016; View
Sasso, M., Y. Liu, J. Aron-Wisnewsky, et al. “AdipoScan: A Novel Transient Elastography-Based Tool Used to Non-Invasively Assess Subcutaneous Adipose Tissue Shear Wave Speed in Obesity.” Elsevier, 2016. Web. View
Huang, SW, H. Xie, JL Robert, et al. “Phase Aberration in Ultrasound Shear Wave Elastography – Impacts on Push and Tracking.” IEEE International Ultrasonics Symposium (IUS), 2016. Web. View
Carrascal, C. A., S. Chen, A. Manduca, et al. “Improved Shear Wave Group Velocity Estimation Method Based on Spatiotemporal Peak and Thresholding Motion Search.” IEEE, 2017. Web. View
Takashima, M., Y. Arai, A. Kawamura, et al. “Quantitative Evaluation of Masseter Muscle Stiffness in Patients with Temporomandibular Disorders Using Shear Wave Elastography.” Elsevier, 2017. Web. View
Cournane, S., Fagan, A., & Browne, J. (2012) Review of Ultrasound Elastography Quality Control and Training Test Phantoms. Ultrasound February vol. 20, no. 1-2. doi:10.1258/ult.2012.012e01 View
Long, Zaiyang, et al. “Clinical Acceptance Testing and Scanner Comparison of Ultrasound Shear Wave Elastography.” Journal of Applied Clinical Medical Physics, vol. 19, no. 3, 2018, pp. 336–342., doi:10.1002/acm2.12310. View