Multi-Modality Breast Biopsy and Sonographic Trainer

Model 073

The Multi-Modality Breast Biopsy and Sonographic Trainer is designed to train users in various aspects of breast imaging and image-guided interventional procedures. The phantom accurately mimics the heterogeneous appearance of breast tissue under ultrasound, mammography and MRI, and has cystic and dense lesions embedded within the breast background. Half of the dense lesions are spherical and have a 100-300 micron microcalcification embedded within it, while the other half have a spiculated shape. In addition to helping users identify different types of masses in the complex structure of the breast, the calcifications are useful markers for image registration between modalities.

The phantom includes a patent-pending1 Z-SkinTM membrane that simulates the look and feel of skin during scanning and biopsy. The skin material closes up on itself after puncture with a needle, providing good protection from desiccation even after multiple training sessions.

The material inside the phantom is formulated to minimize the effect of needle tracks while practicing biopsy techniques on the embedded masses. This material also has remarkable self-healing properties, and tracks will usually disappear within minutes (sometime seconds) of needle removal. Each mass may be biopsied multiple times.

  • Compatible with X-ray, Ultrasound, and MRI
  • Heterogeneous tissue to simulate imaging of human breast
  • Encased in flexible membrane for increased durability
  • Self-healing material for extended phantom use
  • Cystic, dense, high stiffness and attenuative masses for biopsy training

Data Sheet

Multi-Modality Breast Biopsy and Sonographic Trainer: Data Sheet


Publication References

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C. Lee AW, Rajagopal V, Doyle A, F. Nielsen PM, Nash MP. Breast lesion co-localisation between X-ray and MR images using finite element modelling. Medical Image Analysis. 2013. View

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Kousaka J, Nakano S, Ando T, et al. Targeted sonography using an image fusion technique for evaluation of incidentally detected breast lesions on chest CT: a pilot study. Breast Cancer. 2014; View

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Park, S.B., JG Kim, KW Lim, et al. “A Magnetic Resonance Image-guided Breast Needle Intervention Robot System: Overview and Design Considerations.” International Journal of Computer Assisted Radiology and Surgery, 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