Real-time Tracking of Laparoscopic Instruments Using Kinect for Training in Virtual Reality

被引:0
作者
Owlia, Mohammadhasan [1 ,2 ]
Khabbazan, Mostafa [1 ,2 ]
Mirbagheri, M. M. [3 ,4 ]
Mirbagheri, Alireza [5 ,6 ]
机构
[1] Univ Tehran Med Sci, Res Ctr Biomed Technol & Robot, Tehran, Iran
[2] Univ Tehran, Sch Mech Engn, Tehran, Iran
[3] Univ Tehran Med Sci, Dept Med Phys & Biomed Engn, Neural Engn Res Ctr, Noorafshar Hosp, Tehran, Iran
[4] Northwestern Univ, Dept Phys Med & Rehabil, Evanston, IL 60208 USA
[5] Univ Tehran Med Sci, Res Ctr Biomed Technol & Robot, Sch Med, Tehran, Iran
[6] Univ Tehran Med Sci, Dept Med Phys & Biomed Engn, Sch Med, Tehran, Iran
来源
2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2016年
关键词
BOX TRAINERS; SIMULATION; VISION;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Training of laparoscopic surgery in Virtual Reality (VR) environment has been proved as an effective step before clinical practice. Tracking the position of instruments in realtime is an essential part of developing a VR trainer. In this study, we used Microsoft Kinect and color markers instead of using similar traditional means such as mechanical sensors. The orientation and position of instruments were determined and compared with the results obtained using the SinaSim commercial laparoscopic surgery trainer, which measures these values using encoders. The final results indicated that even though the newly developed systems possess an inferior accuracy compared to the mechanical sensors, low cost and portability makes it capable of replacing traditional methods of tracking.
引用
收藏
页码:3945 / 3948
页数:4
相关论文
共 50 条
  • [41] Objective assessment of laparoscopic skills using a virtual reality stimulator
    J. R. Eriksen
    T. Grantcharov
    Surgical Endoscopy And Other Interventional Techniques, 2005, 19 : 1216 - 1219
  • [42] SterileAR: Exploration of Augmented Reality and Computer Vision Approaches for Real-Time Feedback in Sterile Compounding Training
    Babichenko, Dmitriy
    Patel, Ravi
    Grieve, Victoria
    Healy, Patrick
    Canton, Stephen
    Littleton, Eliza Beth
    Donnellan, Nicole
    Andrews, Edward
    PROCEEDINGS OF 2020 6TH INTERNATIONAL CONFERENCE OF THE IMMERSIVE LEARNING RESEARCH NETWORK (ILRN 2020), 2020, : 62 - 69
  • [43] Multi-sensor based real-time 6-DoF pose tracking for wearable augmented reality
    Fang, Wei
    Zheng, Lianyu
    Wu, Xiangyong
    COMPUTERS IN INDUSTRY, 2017, 92-93 : 91 - 103
  • [44] High fidelity real-time simulator with mixed real and virtual sensors
    Papp, Z
    Dorrepaal, M
    Thean, AHC
    van Elk, MG
    2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4, 2005, : 4526 - 4531
  • [45] An image acquisition system for real-time seam tracking
    Nele, L.
    Sarno, E.
    Keshari, A.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 69 (9-12) : 2099 - 2110
  • [46] Real-time crowd formation control in virtual scenes
    He, Wu
    Pan, Gaofeng
    Wang, Xuan
    Chen, Jim X.
    SIMULATION MODELLING PRACTICE AND THEORY, 2023, 122
  • [47] A Multi Sensor Real-time Tracking with LiDAR and Camera
    Manghat, Surya Kollazhi
    El-Sharkawy, Mohamed
    2020 10TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2020, : 668 - 672
  • [48] Virtual reality simulation training in laparoscopic suturing and knot-tying: a narrative review
    Akritidou, Ellada
    Lykoudis, Panagis M.
    Nastos, Constantinos
    Dellaportas, Dionysios
    Pararas, Nikolaos
    Papaconstantinou, Dimitrios
    Theofilogiannakou, Eirini
    Davoutis, Efstathia
    Giannou, Anastasios D.
    Pikoulis, Emmanouil
    ANNALS OF LAPAROSCOPIC AND ENDOSCOPIC SURGERY, 2024, 9
  • [49] The importance of haptic feedback in laparoscopic suturing training and the additive value of virtual reality simulation
    Sanne M. B. I. Botden
    Fawaz Torab
    Sonja N. Buzink
    Jack J. Jakimowicz
    Surgical Endoscopy, 2008, 22 : 1214 - 1222
  • [50] Transient Imaging for Real-Time Tracking Around a Corner
    Klein, Jonathan
    Laurenzis, Martin
    Hullin, Matthias
    ELECTRO-OPTICAL REMOTE SENSING X, 2016, 9988