Literature DB >> 33501203

Haptic Rendering of Diverse Tool-Tissue Contact Constraints During Dental Implantation Procedures.

Xiaohan Zhao1, Zhuoli Zhu2, Yu Cong1, Yongtao Zhao1, Yuru Zhang3,4, Dangxiao Wang3,4,5.   

Abstract

Motor skill learning of dental implantation surgery is difficult for novices because it involves fine manipulation of different dental tools to fulfill a strictly pre-defined procedure. Haptics-enabled virtual reality training systems provide a promising tool for surgical skill learning. In this paper, we introduce a haptic rendering algorithm for simulating diverse tool-tissue contact constraints during dental implantation. Motion forms of an implant tool can be summarized as the high degree of freedom (H-DoF) motion and the low degree of freedom (L-DoF) motion. During the H-DoF state, the tool can move freely on bone surface and in free space with 6 DoF. While during the L-DoF state, the motion degrees are restrained due to the constraints imposed by the implant bed. We propose a state switching framework to simplify the simulation workload by rendering the H-DoF motion state and the L-DoF motion state separately, and seamless switch between the two states by defining an implant criteria as the switching judgment. We also propose the virtual constraint method to render the L-DoF motion, which are different from ordinary drilling procedures as the tools should obey different axial constraint forms including sliding, drilling, screwing and perforating. The virtual constraint method shows efficiency and accuracy in adapting to different kinds of constraint forms, and consists of three core steps, including defining the movement axis, projecting the configuration difference, and deriving the movement control ratio. The H-DoF motion on bone surface and in free space is simulated through the previously proposed virtual coupling method. Experimental results illustrated that the proposed method could simulate the 16 different phases of the complete implant procedures of the Straumann® Bone Level(BL) Implants Φ4.8-L12 mm. According to the output force curve, different contact constraints could be rendered with steady and continuous output force during the operation procedures.
Copyright © 2020 Zhao, Zhu, Cong, Zhao, Zhang and Wang.

Entities:  

Keywords:  contact constraints; dental implantation procedures; haptic rendering; state switching; surgery simulation

Year:  2020        PMID: 33501203      PMCID: PMC7806036          DOI: 10.3389/frobt.2020.00035

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  11 in total

1.  Development of a Drilling Simulator for Dental Implant Surgery.

Authors:  Hideaki Kinoshita; Masahiro Nagahata; Naoki Takano; Shinji Takemoto; Satoru Matsunaga; Shinichi Abe; Masao Yoshinari; Eiji Kawada
Journal:  J Dent Educ       Date:  2016-01       Impact factor: 2.264

2.  Realistic haptic rendering of interacting deformable objects in virtual environments.

Authors:  Christian Duriez; Frédéric Dubois; Abderrahmane Kheddar; Claude Andriot
Journal:  IEEE Trans Vis Comput Graph       Date:  2006 Jan-Feb       Impact factor: 4.579

3.  Visuohaptic simulation of bone surgery for training and evaluation.

Authors:  Dan Morris; Christopher Sewell; Federico Barbagli; Kenneth Salisbury; Nikolas H Blevins; Sabine Girod
Journal:  IEEE Comput Graph Appl       Date:  2006 Nov-Dec       Impact factor: 2.088

4.  Application of virtual reality force feedback haptic device for oral implant surgery.

Authors:  Naoki Kusumoto; Taiji Sohmura; Shinichi Yamada; Kazumichi Wakabayashi; Takashi Nakamura; Hirofumi Yatani
Journal:  Clin Oral Implants Res       Date:  2006-12       Impact factor: 5.977

5.  A six degree-of-freedom god-object method for haptic display of rigid bodies with surface properties.

Authors:  Michael Ortega; Stephane Redon; Sabine Coquillart
Journal:  IEEE Trans Vis Comput Graph       Date:  2007 May-Jun       Impact factor: 4.579

6.  Haptic rendering of volumetric data for cranial implant modeling.

Authors:  Zhuming Ai; Ray Evenhouse; Mary Rasmussen
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

7.  High-fidelity haptic and visual rendering for patient-specific simulation of temporal bone surgery.

Authors:  Sonny Chan; Peter Li; Garrett Locketz; Kenneth Salisbury; Nikolas H Blevins
Journal:  Comput Assist Surg (Abingdon)       Date:  2016-12       Impact factor: 1.787

8.  [The Simodont in dental education].

Authors:  I R de Boer; D R Bakker; P R Wesselink; J M Vervoorn
Journal:  Ned Tijdschr Tandheelkd       Date:  2012-06

9.  Six Degree-of-Freedom Haptic Simulation of Probing Dental Caries Within a Narrow Oral Cavity.

Authors:  Dangxiao Wang; Xiaohan Zhao; Youjiao Shi; Yuru Zhang; Jianxia Hou; Jing Xiao
Journal:  IEEE Trans Haptics       Date:  2016-02-18       Impact factor: 2.487

10.  The usefulness of a haptic virtual reality simulator with repetitive training to teach caries removal and periodontal pocket probing skills.

Authors:  Satoshi Yamaguchi; Yoshinori Yoshida; Hiroshi Noborio; Shinya Murakami; Satoshi Imazato
Journal:  Dent Mater J       Date:  2013       Impact factor: 2.102

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