Multi-Modality Breast Biopsy and Sonographic Trainer - CIRS 073
Durable Training Phantom for Ultrasound, Mammography, X-ray, and MRI

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 flexible Z-Skin™ 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 dessication 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 cystic mass may be aspirated once and each dense mass may be biopsied multiple times.


Model 073 Ultrasound - 1
Model 073 Ultrasound
Model 073 Ultrasound - 2
Model 073 Ultrasound
Model 073 MR T1 SE
Model 073 MR T1 SE
Model 073 MR T2 FSE
Model 073 MR T2 FSE
Model 073 X-Ray Mammography
Model 073 X-Ray Mammography

Dimensions 12cm x 10cm x 9cm
(4.7" x 4" x 3.5")
Weight 0.4kg (1lb)
Size 500 cc
Membrane Material Z-Skin™
Background Gel Material Zerdine®-based emulsion
Cystic Masses Qty: 5-10
Material: water with thickening agent and green dye
Size: 3 -10 mm in diameter
Shape: Spherical or elliptical shape
Dense Masses Qty: 10-15
Material: Zerdine-based, hyperechoic under ultrasound
Size: 5-10 mm in diameter
Half spherical with embedded microcalcifications (100-300 microns)
Half spiculated
Model 073 includes Multi-Modality Breast Biopsy and Sonographic Trainer Phantom, user guide and 12-month warranty.

Publication References

Solberg OVV, Lindseth F, Bø LEE, et al. 3D ultrasound reconstruction algorithms from analog and digital data. Ultrasonics. 2011; 51(4):405-419.

Chun HY, Jung HC, Kim MT, Kim KG, Ko KL. Needle insertion force exerted on various breast tissues: Experimental study and finite element analysis. Biomed. Eng. Lett. 2012;2(3):173-178.

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.

Nakano S, Yoshida M, Fujii K, et al. Real-time virtual sonography, a coordinated sonography and MRI system that uses magnetic navigation, improves the sonographic identification of enhancing lesions on breast MRI. Ultrasound Med Biol. 2012;38(1):42-9.

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;

Kocev, Bojan, Joachim Georgii, Lars Linsen, and Karl Horst. "Information Fusion for Real-time Motion Estimation in Image-guided Breast Biopsy Navigation." Workshop on Virtual Reality Interaction and Physical Simulation. N.p.: Eurographics AssociationThe Eurographics Association, 2014.

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.

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

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.

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