Virtual Endoscopy : Modeling the Navigation in 3 D Brain Volumes

Minimally invasive neuroendoscopy involves matching the two-dimensional images seen by the endoscopes to the three-dimensional reality of a patient that is summarized pre-operatively in CT and/or MRI data sets. To remedy the inaccuracies and difficulties associated with classical endoscopy, a robust real time computer-assisted navigation capability is required for neuroendoscopy. In this article, we propose a computational geometry-based approach for virtual endoscopy. The approach is also being implemented on hardware.

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