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

研究成果: Article査読

11 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号6
ジャーナルROBOMECH Journal
1
1
DOI
出版ステータスPublished - 2014 12 1
外部発表はい

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 器械工学
  • 機械工学
  • 制御と最適化
  • 人工知能

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