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Proceedings Paper

Collision detection and modeling of rigid and deformable objects in laparoscopic simulator
Author(s): Mary-Clare Dy; Kazuyoshi Tagawa; Hiromi T. Tanaka; Masaru Komori
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Paper Abstract

Laparoscopic simulators are viable alternatives for surgical training and rehearsal. Haptic devices can also be incorporated with virtual reality simulators to provide additional cues to the users. However, to provide realistic feedback, the haptic device must be updated by 1kHz. On the other hand, realistic visual cues, that is, the collision detection and deformation between interacting objects must be rendered at least 30 fps. Our current laparoscopic simulator detects the collision between a point on the tool tip, and on the organ surfaces, in which haptic devices are attached on actual tool tips for realistic tool manipulation. The triangular-mesh organ model is rendered using a mass spring deformation model, or finite element method-based models. In this paper, we investigated multi-point-based collision detection on the rigid tool rods. Based on the preliminary results, we propose a method to improve the collision detection scheme, and speed up the organ deformation reaction. We discuss our proposal for an efficient method to compute simultaneous multiple collision between rigid (laparoscopic tools) and deformable (organs) objects, and perform the subsequent collision response, with haptic feedback, in real-time.

Paper Details

Date Published: 18 March 2015
PDF: 6 pages
Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 941525 (18 March 2015); doi: 10.1117/12.2081344
Show Author Affiliations
Mary-Clare Dy, Ritsumeikan Univ. (Japan)
Shiga Univ. of Medical Science (Japan)
Kazuyoshi Tagawa, Ritsumeikan Univ. (Japan)
Hiromi T. Tanaka, Ritsumeikan Univ. (Japan)
Masaru Komori, Shiga Univ. of Medical Science (Japan)


Published in SPIE Proceedings Vol. 9415:
Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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