Abstract
To provide real-time visualization of deformed volumetric image data for virtual surgery simulation, a resampling algorithm based on deformed tetrahedral structures has been developed. Deformations of the tetrahedral mesh are computed by a soft-tissue simulation. The major advantage of this approach is the possibility to use the resampled image data in different rendering methods such as ray casting, simulated ultrasound or simulated X-ray imaging. To achieve real-time capability, the algorithm was parallelized on the GPU using Nvidia Cuda. Performance measurements have been done on different mesh resolutions. For a subset of 1688 tetrahedrons, short resamplings times of around 2.3 ms are measured on an Nvidia GTX 680, endorsing the algorithm for real-time application.
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Meike, M., Fortmeier, D., Mastmeyer, A., Handels, H. (2015). Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_76
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DOI: https://doi.org/10.1007/978-3-662-46224-9_76
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