Optimization Model for the Distribution of Fiducial Markers in Liver Intervention
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10916-020-01548-z.pdf
Reference33 articles.
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2. Won, H. J., Kim, N., Kim, G. B., Seo, J. B., and Kim, H., Validation of a CT-guided intervention robot for biopsy and radiofrequency ablation: Experimental study with an abdominal phantom. Diagn Interv Radiol 23(3):233–237, 2017.
3. Wallach, D., Toporek, G., Weber, S., Bale, R., and Widmann, G., Comparison of freehand-navigated and aiming device-navigated targeting of liver lesions. Int J Med Robotics Comput Assist Surg 10(1):35–43, 2014.
4. Nicolau, S. A., Pennec, X., Soler, L., Buy, X., Gangi, A., Ayache, N., and Marescaux, J., An augmented reality system for liver thermal ablation: Design and evaluation on clinical cases. Med Image Anal 13(3):494–506, 2009.
5. Hong, J., Nakashima, H., Konishi, K., Ieiri, S., Tanoue, K., Nakamuta, M., and Hashizume, M., Interventional navigation for abdominal therapy based on simultaneous use of MRI and ultrasound. Med Biol Eng Comput 44(12):1127–1134, 2006.
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