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http://dx.doi.org/10.9718/JBER.2020.41.4.154

Development of Tissue-Tool Interaction Simulation Algorithms for Rotator Cuff Surgery Scenario in Arthroscopic Surgery Training Simulator  

Jo, Kyungmin (Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center)
Bae, Eunkyung (Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center)
You, Hyeonseok (Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center)
Choi, Jaesoon (Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center)
Publication Information
Journal of Biomedical Engineering Research / v.41, no.4, 2020 , pp. 154-164 More about this Journal
Abstract
Various simulator systems for surgery training have been developed and recently become more widely utilized with technology advancement and change in medical education adopting actively simulation-based training. The authors have developed tissue-instrument interaction modeling and graphical simulation algorithms for an arthroscopic surgery training simulator system. In this paper, we propose algorithms for basic surgical techniques, such as cutting, shaving, drilling, grasping, suturing and knot tying for rotator cuff surgery. The proposed method constructs a virtual 3-dimensional model from actual patient data and implements a real-time deformation of the surgical object model through interaction between ten types of arthroscopic surgical tools and a surgical object model. The implementation is based on the Simulation Open Framework Architecture (SOFA, Inria Foundation, France) and custom algorithms were implemented as pulg-in codes. Qualitative review of the developed results by physicians showed both feasibility and limitations of the system for actual use in surgery training.
Keywords
3D simulator; Surgery training; SOFA; Arthroscopic surgery;
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