Multi-Modality Breast Biopsy and Sonographic Trainer

Model 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 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.

Features:
  • 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

Videos

References

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. View&nnbsp;

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. View

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

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. View

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

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. View

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