The computer assisted surgical trainer: Design, models, and implementation

J. W. Rozenblit, C. Feng, M. Riojas, L. Napalkova, A. J. Hamilton, M. Hong, P. Berthet-Rayne, P. Czapiewski, G. Hwang, J. Nikodem, A. Shankaran, A. Rao

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations


This paper describes a system developed to assist in model-based training of minimally invasive, laparoscopic procedures. The key factor motivating the development of the device called CAST (Computer-Assisted Surgical Trainer) is the need to improve the state-of-the-art in teaching laparoscopy, and ultimately achieve better surgical outcomes. CAST's design concept and architecture is presented with its major elements that facilitate guided (both haptic and visual) execution of tasks, performance assessment, and comparative analysis of results. Both software and hardware models and implementations are given. The system, while currently intended for off-line, laboratory use, has an excellent potential for real-time assistive functions in the operating room.

Original languageEnglish (US)
Pages (from-to)211-220
Number of pages10
JournalSimulation Series
Issue number10
StatePublished - 2014
EventSummer Computer Simulation Conference, SCSC 2014, Part of the 2014 Summer Simulation Multiconference, SummerSim 2014 - Monterey, United States
Duration: Jul 6 2014Jul 10 2014


  • Augmented Reality
  • Cognitive Models
  • Computer-Guided Navigation
  • Laparoscopy
  • Surgical Training

ASJC Scopus subject areas

  • Computer Networks and Communications


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