Abstract
Percutaneous radiofrequency ablation has become a frequently used technique for the treatment of liver cancers, but still remains very difficult to plan. In this paper, we propose a robust method to delineate on the skin of a 3D reconstructed patient the zones that are candidate for an insertion, because they allow a safe access to the tumor without meeting any organ, and to compute automatically within these zones an optimal trajectory minimizing the volume of necrosis covering the tumor.
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Keywords
- Radiofrequency Ablation
- Optimal Trajectory
- Percutaneous Radiofrequency Ablation
- Medical Image Computing
- Candidate Trajectory
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Villard, C., Baegert, C., Schreck, P., Soler, L., Gangi, A. (2005). Optimal Trajectories Computation Within Regions of Interest for Hepatic RFA Planning. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566489_7
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DOI: https://doi.org/10.1007/11566489_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29326-2
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