基于物理的新生儿气管插管虚拟现实仿真框架。

Xiao Xiao, Shang Zhao, Yan Meng, Lamia Soghier, Xiaoke Zhang, James Hahn
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引用次数: 24

摘要

新生儿气管插管(ETI)是一个复杂的程序。儿科住院医师插管成功率低表明目前的培训方案不足以实现积极的患者结果。由于实时模拟的复杂性、解剖结构、软组织变形以及在实际患者插管过程中发生的频繁工具与大力的相互作用,该领域的计算机培训系统受到了限制。本文解决了新生儿ETI培训的问题,试图弥合传统培训方法留下的差距。我们为新生儿ETI提出了一个完全交互式的基于物理的虚拟现实(VR)模拟框架,该框架将该医疗程序的培训转换为完全沉浸式的虚拟环境,在该环境中实现了视觉和物理真实感。我们的系统将独立的动力学模型和交互设备嵌入到不同的模块中,同时允许它们在同一环境中相互交互,为多模态医学仿真场景提供了灵活的解决方案。虚拟模型是从新生儿患者的CT扫描中提取的,它提供了真实的解剖结构,并被参数化,以允许在影响难度水平的一系列特征中发生变化。此外,通过这个无人体模型的VR系统,我们可以捕获和可视化与虚拟模型内部几何变化相关的更大的性能参数集,用于实时指导和试验后评估。最后,来自一组新生儿专家的验证研究结果表明,VR是一个很有前途的平台,可以有效地培训医疗专业人员进行该手术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Physics-based Virtual Reality Simulation Framework for Neonatal Endotracheal Intubation.

Neonatal endotracheal intubation (ETI) is a complex procedure. Low intubation success rates for pediatric residents indicate the current training regimen is inadequate for achieving positive patient out-comes. Computer-based training systems in this field have been limited due to the complex nature of simulating in real-time, the anatomical structures, soft tissue deformations and frequent tool interactions with large forces which occur during actual patient intubation. This paper addresses the issues of neonatal ETI training in an attempt to bridge the gap left by traditional training methods. We propose a fully interactive physics-based virtual reality (VR) simulation framework for neonatal ETI that converts the training of this medical procedure to a completely immersive virtual environment where both visual and physical realism were achieved. Our system embeds independent dynamics models and interaction devices in separate modules while allowing them to interact with each other within the same environment, which offers a flexible solution for multi-modal medical simulation scenarios. The virtual model was extracted from CT scans of a neonatal patient, which provides realistic anatomical structures and was parameterized to allow variations in a range of features that affect the level of difficulty. Moreover, with this manikin-free VR system, we can capture and visualize an even larger set of performance parameters in relation to the internal geometric change of the virtual model for real-time guidance and post-trial assessment. Lastly, validation study results from a group of neonatologists are presented demonstrating that VR is a promising platform to train medical professionals effectively for this procedure.

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