Elasticity QA Phantom

Model 049 & 049A
Developed to Provide Users with Acoustic Targets of Discrete Known Stiffness
  • Four types of lesions with discrete elastic moduli (Contact CIRS for custom moduli)
  • Compatible with both shear wave and compression elastography
  • Customized versions available for magnetic resonance elastography
  • Ensure over ten years of reliable use through reinspection and repair services

Includes best in industry four-year warranty

The Model 049 and 049A Elasticity QA Phantoms are tools developed for both shear wave and compression elastography. These are the only phantoms commercially available for sonoelastography quality assurance. The phantoms contain targets of known stiffness relative to the background material and range in stiffness, diameter and depth.

The Model 049 is a basic QA phantom as it contains two sizes of spheres positioned at two different depths. At each depth there are two spheres that are softer than the background and two that are harder than the background.

For a broader range of target sizes, the Model 049A phantom has stepped mass targets instead of spheres. Each stepped mass consists of six diameters so that you can evaluate the ability to visualize targets that are located at the same depth and have the same relative stiffness but vary in diameter. The Model 049A is housed in the same size container as the original Model 049.

Both phantoms come standard with a four-year warranty and carry case.

Models 049 & 049A are Suitable for:
  • Determining dynamic range
  • Checking system performance over time
  • Training and demonstrating of system features
  • Research and development

Data Sheet

Elasticity QA Phantom: Data Sheet

References

Publication References

Harris, E., Miller, NR. Et al. Speckle tracking in a phantom feature-based tracking in liver in the presence of respiratory motion using 4D ultrasound. Phys. Med. Biol. 55 2010; 55; 3363-3380. View

McAleavey, Stephen A. Methods and Systems for Spatially Modulated Ultrasound Radiation Force Imaging. Patent US2011/0184287 A1. 28 July 2011. 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

Schneider C, Baghani A, Rohling R, Salcudean S. Remote ultrasound palpation for robotic interventions using absolute elastography. Med Image Comput Comput Assist Interv. 2012;15(Pt 1):42-9. View

Baghani A, Eskandari H, Wang W, et al. Real-time quantitative elasticity imaging of deep tissue using free-hand conventional ultrasound. Med Image Comput Comput Assist Interv. 2012;15(Pt 2):617-24. View

Azar RZ, Dickie K, Pelissier L. Real-time 1-D/2-D transient elastography on a standard ultrasound scanner using mechanically induced vibration. IEEE Trans Ultrason Ferroelectr Freq Control. 2012;59(10):2167-77. View

Baghani A, Salcudean S, Honarvar M, Sahebjavaher RS, Rohling R, Sinkus R. Travelling wave expansion: a model fitting approach to the inverse problem of elasticity reconstruction. IEEE Trans Med Imaging. 2011;30(8):1555-65. View

Azar, R. Z., Baghani, A., Salcudean, S. E., Rohling, R., & 2010 IEEE International Ultrasonics Symposium, IUS 2010. (December 01, 2010). Dynamic elastography using delay compensated and angularly compounded high frame rate 2D motion vectors. Proceedings – Ieee Ultrasonics Symposium, 1616-1619. View

Nabavizadeh, A., Song, P., Chen, S., Greenleaf, J., & Urban, M. (2014). Shear wave generation with steered ultrasound push beams. 2014 IEEE International Ultrasonics Symposium. View

Bae, S., Song, T., & Chang, J. (2014). New shear wave velocity estimation using arrival time differences in orthogonal directions. 2014 IEEE International Ultrasonics Symposium. View

Mehrmohammadi, M., Denis, M., Song, P., Chen, S., Fatemi, M., & Alizad, A. (2014). Comb-Push Ultrasound Shear Elastography of thyroid: Preliminary in vivo human study. 2014 IEEE International Ultrasonics Symposium. View

Chen, Zhaohong, Yongdong Chen, and Qinghua Huang. “Development of a Wireless and Near Real-Time 3D Ultrasound Strain Imaging System.”IEEE Trans. Biomed. Circuits Syst. IEEE Transactions on Biomedical Circuits and Systems (2015): 1. Web. View

Sahebjavaher RS, Nir G, Gagnon LO, et al. MR elastography and diffusion-weighted imaging of ex vivo prostate cancer: quantitative comparison to histopathology. NMR Biomed. 2015;28(1):89-100. View

Huang Q, Xie B, Ye P, Chen Z. 3-D ultrasonic strain imaging based on a linear scanning system. IEEE Trans Ultrason Ferroelectr Freq Control. 2015;62(2):392-400. View

Mulabecirovic A, Vesterhus M, Gilja OH, Havre RF. In Vitro Comparison of Five Different Elastography Systems for Clinical Applications, Using Strain and Shear Wave Technology. Ultrasound Med Biol. 2016;42(11):2572-2588. View

He, X., X. Diao, H. Lin, et al. “Using Coded Excitation to Detect Tissue Vibration in Ultrasonic Elastography.” American Scientific Publishers, Feb. 2017. Web. View

He, X.N., X.F. Diao, H.M. Lin, et al. “Improved Shear Wave Motion Detection Using Coded Excitation for Transient Elastography.” Scientific Reports, 2017. Web. View

Horeh, M. D., A. Asif, and H. Rivaz. “REGULARIZED TRACKING OF SHEAR-WAVE IN ULTRASOUND ELASTOGRAPHY.” Concordia University, Montreal, 2017. Web. View