Multi-Modality Breast Biopsy and Sonographic Trainer Publications
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Solberg OVV, Lindseth F, Bø LEE, et al. 3D ultrasound reconstruction algorithms from analog and digital data. Ultrasonics. 2011; 51(4):405-419. View
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
2013 Lee AW, Rajagopal V, Doyle A, F. Nielsen PM, Nash MP. Breastlesion 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.
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