Force-Feedback Assisted Bone Drilling Simulation Based on CT Data

Maier J, Huber M, Katzky U, Perret J, Wittenberg T, Palm C (2018)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2018

Publisher: Springer

City/Town: Heidelberg

Pages Range: 291 – 296

Conference Proceedings Title: Bildverarbeitung für die Medizin 2018 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen

Event location: Erlangen

ISBN: 978-3-662-56536-0

URI: https://link.springer.com/chapter/10.1007/978-3-662-56537-7_78

DOI: 10.1007/978-3-662-56537-7_78

Abstract

In order to fix a fracture using minimally invasive surgery approaches, surgeons are drilling complex and tiny bones with a 2 dimensional X-ray as single imaging modality in the operating room. Our novel haptic force-feedback and visual assisted training system will potentially help hand surgeons to learn the drilling procedure in a realistic visual environment. Within the simulation, the collision detection as well as the interaction between virtual drill, bone voxels and surfaces are important. In this work, the chai3d collision detection and force calculation algorithms are combined with a physics engine to simulate the bone drilling process. The chosen Bullet-Physics-Engine provides a stable simulation of rigid bodies, if the collision model of the drill and the tool holder is generated as a compound shape. Three haptic points are added to the K-wire tip for removing single voxels from the bone. For the drilling process three modes are proposed to emulate the different phases of drilling in restricting the movement of a haptic device.

Authors with CRIS profile

Thomas Wittenberg Technische Fakultät

Involved external institutions

Ostbayerische Technische Hochschule Regensburg (OTH) DE Germany (DE) Universitätsklinikum Regensburg DE Germany (DE)

How to cite

APA:

Maier, J., Huber, M., Katzky, U., Perret, J., Wittenberg, T., & Palm, C. (2018). Force-Feedback Assisted Bone Drilling Simulation Based on CT Data. In Andreas Maier, Thomas Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2018 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen (pp. 291 – 296). Erlangen: Heidelberg: Springer.

MLA:

Maier, Johannes, et al. "Force-Feedback Assisted Bone Drilling Simulation Based on CT Data." Proceedings of the Workshop Bildverarbeitung für die Medizin 2018,, Erlangen Ed. Andreas Maier, Thomas Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff, Heidelberg: Springer, 2018. 291 – 296.

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