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Automating the Extraction of 3D Models from Medical Images for Virtual Reality and Haptic Simulations

机译:从医学图像中自动提取3D模型以进行虚拟现实和触觉仿真

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The Sensimmer platform represents our ongoing research on simultaneous haptics and graphics rendering of 3D models. For simulation of medical and surgical procedures using Sensimmer, 3D models must be obtained from medical imaging data, such as Magnetic Resonance Imaging (MRI) or Computed Tomography (CT). Image segmentation techniques are used to determine the anatomies of interest from the images. 3D models are obtained from segmentation and their triangle reduction is required for graphics and haptics rendering. This paper focuses on creating an integrated interface between Sensimmer and medical imaging devices, using available software. Existing tools are evaluated, as well as aspects that require further development are identified. Solutions to overcome limitations and increase the degree of automation of the process are examined.
机译:Sensimmer平台代表了我们正在进行的有关3D模型的同时触觉和图形渲染的研究。为了使用Sensimmer模拟医学和外科手术过程,必须从医学成像数据(例如磁共振成像(MRI)或计算机断层扫描(CT))获得3D模型。图像分割技术用于从图像确定感兴趣的解剖结构。 3D模型是通过分割获得的,图形和触觉渲染需要将其三角形缩小。本文着重于使用可用软件在Sensimmer和医学成像设备之间创建集成接口。对现有工具进行评估,并确定需要进一步开发的方面。研究了克服局限性和提高过程自动化程度的解决方案。

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