21 May 2001 Gesture analysis and immersive visualization for virtual endoscopy
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Abstract
To improve diagnosis and therapy planning with additional information in an easy to use and fast way a virtual endoscopy system was developed. From a technical viewpoint, virtual endoscopy can be generated using image sequencies acquired with CT or MRI. It requires appropriate software for image processing and endoluminal visualization and hardware capabilities for immersive virtual reality. This includes that firstly the intuitive user interaction is supported by data gloves, position tracking systems and stereo display devices. Secondly the virtual environment requires real time visualization supported by high end graphic engines to enable the continuous operation and interaction. To enable the endoluminal view, the precise segmentation of the inner lumina like tracheobronchial tree, inner ear or vessels is necessary. In addition to this pathological findings must be defined. We use automatic segmentation techniques like volume growing as well as semiautomatic techniques like deformable models in a virtual environment. After that the surfaces of the segmented volume are reconstructed. This is the basis for our multidimensional display system which visualizes volumes, surfaces and computation results simultaneously. Our developed method of virtual endoscopy enables the interactive, immersive and endoluminal inspection of complex anatomical structures. It is based on intensive image processing like 3D-segmentation and a so called hybrid technique which displays all the information by volume and surface rendering. The system was applied on virtual bronchoscopy, colonoscopy, angioscopy as well as endoluminal representation of the inner ear.
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Karl-Hans Englmeier, Karl-Hans Englmeier, Markus Siebert, Markus Siebert, Roland Bruening, Roland Bruening, Juergen Scheidler, Juergen Scheidler, Maximilian Reiser, Maximilian Reiser, } "Gesture analysis and immersive visualization for virtual endoscopy", Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); doi: 10.1117/12.428131; https://doi.org/10.1117/12.428131
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