A catheterization-training simulator based on a fast multigrid solver

Shun Li, Jixiang Guo, Qiong Wang, Qiang Meng, Yim Pan Chui, Jing Qin, Pheng Ann Heng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)

Abstract

A VR-based simulator helps trainees develop skills for catheterization, a fundamental but difficult procedure in vascular interventional radiology. A deformable model simulates the complicated behavior of guide wires and catheters, using the principle of minimum total potential energy. A fast, stable multigrid solver ensures realistic simulation and real-time interaction. In addition, the system employs geometrically and topologically accurate vascular models based on improved parallel-transport frames, and it implements efficient collision detection. Experiments evaluated the method's stability, the solver's execution time, how well the simulation preserved the catheter's curved tip, and the catheter deformation's realism. An empirical study based on a typical selective-catheterization procedure assessed the system's feasibility and effectiveness.
Original languageEnglish
Article number6148194
Pages (from-to)56-70
Number of pages15
JournalIEEE Computer Graphics and Applications
Volume32
Issue number6
DOIs
Publication statusPublished - 27 Nov 2012
Externally publishedYes

Keywords

  • catheterization skills
  • computer graphics
  • multigrid method
  • physically based deformable model
  • surgical simulation
  • vascular interventional radiology

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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