Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation

Martin Meike, Dirk Fortmeier, André Mastmeyer, Heinz Handels

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.
Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2015
Number of pages6
PublisherSpringer Vieweg, Berlin Heidelberg
Publication date25.02.2015
Pages443-448
ISBN (Print)978-3-662-46223-2
ISBN (Electronic)978-3-662-46224-9
DOIs
Publication statusPublished - 25.02.2015
EventWorkshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany
Duration: 15.03.201517.03.2015

Fingerprint

Dive into the research topics of 'Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation'. Together they form a unique fingerprint.

Cite this