VR training system for endoscopic surgery robot: Development of a system enabling 4D analysis of surgical technique training

Naoki Suzuki, Asaki Hattori, Satoshi Ieiri, Morimasa Tomikawa, Hajime Kenmotsu, Makoto Hashizume

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Our research group is currently developing an endoscopic surgical robot for digestive organs. In the current study, we sought to train surgeons to manipulate the system we are developing for clinical applications. To this end, we are developing a training system with the same interface as the real system, so that surgeons in training can practice basic manipulations and surgical techniques using organ models. To learn the basic manipulations of the system, we emphasized training the surgeon to operate the robotic arms, as this is the biggest difference from the conventional surgical techniques. We set up several types of tasks for the trainee, so that a beginner trainee could get used to operating the robot arms of the system. We developed a surgical training method using a stomach model reconstructed from MRI data sets. In addition to basic surgical techniques such as grabbing, lifting and cutting open soft tissue with the robot arm, we enabled the training system to perform techniques necessary for the surgical system, such as delivering water to the surgical field in case of bleeding, and clipping of incision sites. We added a function to record the performance of the trainee, enabling the system to analyze changes of the surgical field and robot arms in four dimensions during training.

Original languageEnglish
Title of host publicationAugmented Environments for Computer-Assisted Interventions - 6th International Workshop, AE-CAI 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers
Pages117-129
Number of pages13
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event6th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2011, Held in Conjunction with the Medical Image Computing and Computer-Assisted Interventions, MICCAI 2011 - Toronto, ON, Canada
Duration: 2011 Sep 222011 Sep 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7264 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2011, Held in Conjunction with the Medical Image Computing and Computer-Assisted Interventions, MICCAI 2011
CountryCanada
CityToronto, ON
Period11/9/2211/9/22

Keywords

  • 4D analysis
  • Surgery robot
  • Training system

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Suzuki, N., Hattori, A., Ieiri, S., Tomikawa, M., Kenmotsu, H., & Hashizume, M. (2012). VR training system for endoscopic surgery robot: Development of a system enabling 4D analysis of surgical technique training. In Augmented Environments for Computer-Assisted Interventions - 6th International Workshop, AE-CAI 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers (pp. 117-129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7264 LNCS). https://doi.org/10.1007/978-3-642-32630-1_12