Proposition and evaluation of a collision detection method for real time surgery simulation of opening a brain fissure

Akira Fukuhara, Teppei Tsujita, Kazuya Sase, Atsushi Konno, Xin Jiang, Satoko Abiko, Masaru Uchiyama

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

In neurosurgery, opening a brain fissure allows an operator to access to the basis cranii and to treat a disease part safely, but the operator is required highly sophisticated techniques. In order to develop a neurosurgery simulator enabling surgeons to train themselves for opening a brain fissure procedure, it is required to detect collision between a thin instrument model and a deformable brain model and furthermore to compute feasible enforced displacements to deformable object. This paper proposes a new collision detection method which considers to the collision state of objects in previous loop of simulation. And simulation of opening a brain fissure is implemented using the proposed method which is accelerated by GPU (Graphics Processing Unit). Finally the performance of the proposed method is evaluated.

Original languageEnglish
Article number6
JournalROBOMECH Journal
Volume1
Issue number1
DOIs
Publication statusPublished - 2014 Dec 1
Externally publishedYes

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Keywords

  • Collision detection
  • Operation simulator
  • ROBOMEC2013
  • Software development

ASJC Scopus subject areas

  • Modelling and Simulation
  • Instrumentation
  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence

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