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一种用于微植入手术培训的导向钻孔过程的分析钻削力模型和基于 GPU 加速触觉的仿真框架。

An analytical drilling force model and GPU-accelerated haptics-based simulation framework of the pilot drilling procedure for micro-implants surgery training.

机构信息

Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Block EA, Singapore 117576, Singapore.

出版信息

Comput Methods Programs Biomed. 2012 Dec;108(3):1170-84. doi: 10.1016/j.cmpb.2012.05.015. Epub 2012 Jun 30.

DOI:10.1016/j.cmpb.2012.05.015
PMID:22749906
Abstract

The placement of micro-implants is a common but relatively new surgical procedure in clinical dentistry. This paper presents a haptics-based simulation framework for the pilot drilling of micro-implants surgery to train orthodontists to successfully perform this essential procedure by tactile sensation, without damaging tooth roots. A voxel-based approach was employed to model the inhomogeneous oral tissues. A preprocessing pipeline was designed to reduce imaging noise, smooth segmentation results and construct an anatomically correct oral model from patient-specific data. In order to provide a physically based haptic feedback, an analytical drilling force model based on metal cutting principles was developed and adapted for the voxel-based approach. To improve the real-time response, the parallel computing power of Graphics Processing Units is exploited through extra efforts for data structure design, algorithms parallelization, and graphic memory utilization. A prototype system has been developed based on the proposed framework. Preliminary results show that, by using this framework, proper drilling force can be rendered at different tissue layers with reduced cycle time, while the visual display has also been enhanced.

摘要

微种植体的放置是临床牙科中一种常见但相对较新的手术程序。本文提出了一种基于触觉的微种植体手术导孔模拟框架,旨在通过触觉训练正畸医生成功执行这一基本程序,同时避免损伤牙根。我们采用基于体素的方法来对非均匀性的口腔组织进行建模。设计了一个预处理流水线来减少成像噪声,使分割结果更平滑,并根据特定于患者的数据构建解剖正确的口腔模型。为了提供基于物理的触觉反馈,我们根据金属切削原理开发并适用于基于体素方法的分析钻孔力模型。为了提高实时响应,我们通过额外的数据结构设计、算法并行化和图形内存利用等努力来利用图形处理单元的并行计算能力。已经基于所提出的框架开发了一个原型系统。初步结果表明,通过使用该框架,可以在不同的组织层中呈现适当的钻孔力,同时减少了循环时间,并且还增强了视觉显示效果。

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An analytical drilling force model and GPU-accelerated haptics-based simulation framework of the pilot drilling procedure for micro-implants surgery training.一种用于微植入手术培训的导向钻孔过程的分析钻削力模型和基于 GPU 加速触觉的仿真框架。
Comput Methods Programs Biomed. 2012 Dec;108(3):1170-84. doi: 10.1016/j.cmpb.2012.05.015. Epub 2012 Jun 30.
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Int J Comput Assist Radiol Surg. 2017 Apr;12(4):595-606. doi: 10.1007/s11548-016-1475-3. Epub 2016 Sep 6.
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A predictive bone drilling force model for haptic rendering with experimental validation using fresh cadaveric bone.
具有触觉反馈的骨钻预测力模型,使用新鲜尸体骨进行实验验证。
Int J Comput Assist Radiol Surg. 2017 Jan;12(1):91-98. doi: 10.1007/s11548-016-1463-7. Epub 2016 Aug 22.