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Precise determination of regions of interest for hepatic RFA planning
Proc. SPIE 6509, 650923 (2007); http://dx.doi.org/10.1117/12.708757
Sunday 18 February 2007
San Diego, CA, USA
Medical Imaging 2007: Visualization and Image-Guided Procedures
Kevin R. Cleary, Michael I. Miga
Percutaneous radiofrequency ablation is one of the most promising alternatives to open surgery for the treatment of liver cancer. This operation is a minimally invasive procedure that consists in inserting a needle in targeted tissues that are destroyed by heat. The success of such an operation mainly depends on the accuracy of the needle insertion, making it possible to destroy the whole tumor, while avoiding damages on other organs and minimizing risks of a local recurrence. We are developing a software that applies planning rules on patient-specific 3D reconstructions, in order to suggest relevant options for the choice of a path to the tumor, and that displays various information allowing to adjust the final choice. In this context we propose a method to compute automatically, quickly, and accurately, the possible insertion areas on the skin. Within these areas, an insertion of the probe targeting the tumor respects the numerous strong (boolean) constraints required for a radiofrequency ablation. Besides, these insertion zones define the research domain of the optimization process, taking into account soft constraints to refine the solutions. They are also displayed on the skin of the virtual patient to inform the physician about the different possibilities specific to each case, allowing him at the end of the automatic process, to modify interactively the proposed strategy, with a real-time update of the related information. We discuss in this paper about the importance of a precise delineation of these areas.
© 2007 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
History
Online Mar 22, 2007
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Claire Baegert, Caroline Villard, Pascal Schreck and Luc Soler, "Precise determination of regions of interest for hepatic RFA planning",
Proc. SPIE 6509, 650923 (2007); http://dx.doi.org/10.1117/12.708757
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