Zusammenfassung
Assistant physicians typically learn surgical techniques by observation and supervised practice on the patient or using biophantoms. Alternatively, surgical simulators with the possibility of new training possibilities can be used. A number of simulators is already commercially available and might in the future become as important for surgical training as flight simulators. Since so far no simulator is concerned with the training of tracheotomies, a soft-tissue model for simulating tracheotomy was developed. This soft-tissue model is integrated into our ENT surgical simulator for tracheotomy. To model the soft-tissues of the neck (skin and fat), a computed tomography (CT) scan was interactively segmented. For the interaction simulation of a scalpel with the soft-tissue, position based dynamics (PBD) was used, originally developed for the gaming industries. Initial results imply that the proposed approach is able to model soft tissues for virtual surgical training.
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Literatur
Kotsis S, Chung K. Application of see one, do one, teach one concept in surgical training. Plast Reconstr Surg. 2013;131(5):1194–1201.
Iverson K, Riojas R, Sharon D, et al. Objective comparison of animal training versus artificial simulation for initial cricothyroidotomy training. Am Surg. 2015;81(5):515–518.
Misra S, Ramesh K, Okamura A. Modeling of tool-tissue interactions for computerbased surgical simulation: a literature review. Presence. 2008;17(5):463–491.
Klemm E, Nowak AK. Tracheotomy-related deaths: a systematic review. Dt Ärzteblatt Int. 2017;114(16):273.
Franz D, Katzky U, Neuman S, et al. Haptisches Lernen für Cochlea Implantationen – Konzept. Proc’s CURAC. 2016; p. 21–26.
Eixelberger T, Wittenberg T, Perret J, et al. A haptic model for virtual petrosal bone milling. Proc’s CURAC. 2018; p. 214–219.
Pan J, Bai J, Zhao X, et al. Real-time haptic manipulation and cutting of hybrid soft tissue models by extended position-based dynamics. Comp Anim & Virt Worlds. 2015;26(3-4):321–335.
Berndt I, Torchelsen R, Maciel A. Efficient surgical cutting with position-based dynamics. IEEE Comput Graph Appl. 2017;37(3):24–31.
Lu Z, et al. Towards physics-based interactive simulation of electrocautery procedures using PhysX. IEEE Haptics Symposium. 2010; p. 515–518.
Bender J, Koschier D, Charrier P, et al. Position-based simulation of continuous materials. Comp & Graphics. 2014;44:1–10.
Zilles C, Salisbury J. A constraint-based god-object method for haptic display. Rep U S. 1995;3:146–151.
Picinbono G, Lombardo JC; Citeseer. Extrapolation: a solution for force feedback. Int Sci Workshop on Virt Real & Prototyping. 1999; p. 117–125.
Macklin M, Müller M, Chentanez N. XPBD: position-based simulation of compliant constrained dynamics. Proc ICMG. 2016; p. 49–54.
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© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Eixelberger, T., Parchent, J., Janka, R., Stamminger, M., Döllinger, M., Wittenberg, T. (2020). Haptic Rendering of Soft-Tissue for Training Surgical Procedures at the Larynx. In: Tolxdorff, T., Deserno, T., Handels, H., Maier, A., Maier-Hein, K., Palm, C. (eds) Bildverarbeitung für die Medizin 2020. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-29267-6_76
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DOI: https://doi.org/10.1007/978-3-658-29267-6_76
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