NDLI: A 3D virtual reality simulator for training of minimally invasive surgery

Content Provider	IEEE Xplore Digital Library
Author	Shao-Hua Mi Zeng-Gunag Hou Fan Yang Xiao-Liang Xie Gui-Bin Bian
Copyright Year	2014
Description	Author affiliation: State Key Lab. of Manage. & Control for Complex Syst. the Inst. of Autom., Beijing, China (Shao-Hua Mi; Zeng-Gunag Hou; Fan Yang; Xiao-Liang Xie; Gui-Bin Bian)
Abstract	For the last decade, remarkable progress has been made in the field of cardiovascular disease treatment. However, these complex medical procedures require a combination of rich experience and technical skills. In this paper, a 3D virtual reality simulator for core skills training in minimally invasive surgery is presented. The system can generate realistic 3D vascular models segmented from patient datasets, including a beating heart, and provide a real-time computation of force and force feedback module for surgical simulation. Instruments, such as a catheter or guide wire, are represented by a multi-body mass-spring model. In addition, a realistic user interface with multiple windows and real-time 3D views are developed. Moreover, the simulator is also provided with a human-machine interaction module that gives doctors the sense of touch during the surgery training, enables them to control the motion of a virtual catheter/guide wire inside a complex vascular model. Experimental results show that the simulator is suitable for minimally invasive surgery training.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	349
Ending Page	352
File Size	2536763
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943601
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Three-dimensional displays Wires Catheters Computational modeling Real-time systems Training
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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