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

机译：用于脑裂实时手术模拟的碰撞检测方法的提出与评价

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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.
机译：在神经外科手术中，打开脑裂可使操作员接近颅骨并安全地治疗疾病部位，但是操作员需要高度复杂的技术。为了开发神经外科手术模拟器，使外科医生能够训练自己以进行脑裂手术，需要检测薄仪器模型与可变形大脑模型之间的碰撞，并计算可变形物体的可行强制位移。提出了一种新的碰撞检测方法，该方法考虑了先前模拟循环中物体的碰撞状态。并使用GPU（图形处理单元）加速的拟议方法实现了打开脑裂的模拟。最后，对所提方法的性能进行了评估。

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