Real-time resampling of medical images based on deformed tetrahedral structures for needle insertion vr-simulation

M Meike, D Fortmeier, A Mastmeyer… - … vom 15. bis 17. März 2015 …, 2015 - Springer
M Meike, D Fortmeier, A Mastmeyer, H Handels
Bildverarbeitung für die Medizin 2015: Algorithmen-Systeme-Anwendungen …, 2015Springer
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 …
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.
Springer
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