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The University of Arizona.

An Intelligent Guidance System for Computer-Guided Surgical Training

Abstract

dc:description.abstract

Laparoscopic surgery performed by expert surgeons enables patients to reduce recovery time and pain. However, this surgical procedure is challenging due to restricted vision and depth perception issues. Various simulators have been developed for simulation-based laparoscopic surgery skills training. Technical realization methods of existing simulators are summarized to develop the next generation training systems by conducting systematic review. In this dissertation, a novel computer-assisted surgical trainer (CAST) is presented to provide the better training experience. CAST guides a trainee actively by providing visual, force, and audio guidance. An augmented reality overlay system was implemented first using a single web camera. Also, an instrument tracking system was designed to support the guidance based on kinematic equations with particle swarm optimization (PSO). For the force guidance system, self-adjusting fuzzy sliding mode controllers are proposed with virtual fixtures. To generate a training task, modeling specifications and a text-based task description method are presented as well. While performing a training task, CAST collects movement data, then objective assessment results are provided to a trainee using a fuzzy scoring system with achievable goal-based evaluation metrics. The initial test data indicate the feasibility and effectiveness of the proposed computer-guided training system.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Graduate College
Grantor dc:publisher
The University of Arizona.
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hong, Minsik
Advisor dc:contributor.advisor
  • Rozenblit, Jerzy W.
Committee members dc:contributor.committeemember
  • Roveda, Janet M.
  • Lysecky, Roman

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10150/633226
OAI identifier oai:identifier
oai:repository.arizona.edu:10150/633226

Chain of custody

source
Harvested from
University of Arizona
Base URL
repository.arizona.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hong, Minsik. An Intelligent Guidance System for Computer-Guided Surgical Training. doctoral thesis, The University of Arizona., 2019. http://hdl.handle.net/10150/633226