Breast Elastography Phantom

Model 059

The Model 059 accurately mimics the ultrasonic characteristics of tissues found in an average human breast. The size and shape of the phantom simulates that of an average patient in the supine position. Protected by a membrane, the phantom’s Zerdine®1 simulates needle resistance.

The phantom contains several solid masses that appear slightly hypoechoic to the simulated breast tissue under normal ultrasound, but the lesions are at least two times stiffer than the background so they can be detected on elastography. Lesions range in size from 3 to 10 mm in diameter, are randomly positioned throughout the background, and can be biopsied 3 times.*

A special holding tray facilitates proper hand position during the training procedures.

  • Improve hand-eye coordination
  • Test new equipment
  • Experiment with new techniques
  • Instruct others
  • Contains solid lesions which can be biopsied

(1)US PATENT# 5196343

* It is important to understand that the Model 059 is a disposable product. Although the material can be punctured to demonstrate biopsy techniques, each mass can only withstand core biopsy until the lesion is destroyed.

Data Sheet

Breast Elastography Phantom: Data Sheet



Publication References

Rivaz, H., E. Boctor, P. Foroughi, R. Zellars, G. Fichtinger, and G. Hager. “Ultrasound Elastography: A Dynamic Programming Approach.” IEEE Transactions on Medical Imaging 27.10 (2008): 1373-377. View

Sayed A, Layne G, Abraham J, Mukdadi O. Nonlinear characterization of breast cancer using multi-compression 3D ultrasound elastography in vivo. Ultrasonics. 2013;53(5):979-91. View

Eskandari H, Salcudean SE, Rohling R, Bell I. Real-time solution of the finite element inverse problem of viscoelasticity. Inverse Problems. 2011;27(8):085002-. View

Ghavami, Navid; Probert Smith, Penny; Tiberi, Gianluigi; Edwards, David; Craddock, Ian: ‘Non-iterative beamforming based on Huygens principle for multistatic ultrawide band radar: application to breast imaging’, IET Microwaves, Antennas & Propagation, 2015. View

Denis, M.; Bayat, M.; Mehrmohammadi, M.; Gregory, A.; Song, P.; Whaley, D.H.; Pruthi, S.; Chen, S.; Fatemi, M.; Alizad, A., “Update on breast cancer detection using comb-push ultrasound shear elastography,” inUltrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on , vol.62, no.9, pp.1644-1650, Sept. 2015. View

E. Shaswary, J. Tavakkoli and Y. Xu, “A new algorithm for time-delay estimation in ultrasonic echo signals [Correspondence],” in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 62, no. 1, pp. 236-241, January 2015. doi: 10.1109/TUFFC.2014.006645 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