Razavizadeh Seyedsina, Kofler Markus, Kunz Matthias, Kempfert Joerg, Braun-Dullaeus Ruediger, Weidling Janine, Preim Bernhard, Hansen Christian
Faculty of Computer Science, University of Magdeburg, Magdeburg, Germany.
Siemens Healthcare GmbH, Erlangen, Germany.
Int J Comput Assist Radiol Surg. 2025 Feb;20(2):379-389. doi: 10.1007/s11548-024-03293-x. Epub 2024 Dec 19.
Computer-based medical training scenarios, derived from patient's records, often lack variability, modifiability, and availability. Furthermore, generating image datasets and creating scenarios is resource-intensive. Therefore, patient authoring tools for rapid dataset-independent creation of virtual patients (VPs) is a pressing need.
An authoring tool and a virtual catheterization laboratory environment were developed. The tool allows customised VP generation through a real-time morphable heart model and Euroscore parameters. The generated VP can be examined inside the vCathLab using a fluoroscopy and monitoring device, both on desktop and immersive virtual reality. Seven board-certified experts evaluated the proposed method from three aspects, i.e. System Usability Scale, qualitative feedback, and its performance in VR.
All participants agreed that this method could provide the necessary information and is anatomically correct within an educational context. Its modifiability, variability, and simplicity were well recognised. The prototype achieved excellent usability score and considerable performance results.
We present a highly variable VP authoring tool that enhances variability in medical training scenarios. Although this work does not aim to explore didactic aspects, the potential of using this approach in an educational context has been confirmed in our study. Accordingly, these aspects can benefit from a thorough investigation in the future. In addition, our tool can be improved to provide more realistic parameter ranges for procedure-specific cases.
源自患者记录的基于计算机的医学训练场景通常缺乏可变性、可修改性和可用性。此外,生成图像数据集和创建场景需要大量资源。因此,迫切需要用于快速独立于数据集创建虚拟患者(VP)的患者创作工具。
开发了一种创作工具和一个虚拟导管插入实验室环境。该工具允许通过实时可变形心脏模型和欧洲心脏手术风险评估系统(Euroscore)参数来定制生成VP。生成的VP可以在虚拟导管插入实验室(vCathLab)中使用荧光透视和监测设备进行检查,既可以在桌面环境下,也可以在沉浸式虚拟现实环境下。七名具有专业资格认证的专家从三个方面对所提出的方法进行了评估,即系统可用性量表、定性反馈及其在虚拟现实中的性能。
所有参与者都认为该方法能够提供必要的信息,并且在教育背景下解剖结构正确。其可修改性、可变性和简单性得到了充分认可。该原型获得了出色的可用性评分和可观的性能结果。
我们展示了一种高度可变的VP创作工具,可增强医学训练场景的可变性。尽管这项工作并非旨在探索教学方面,但我们的研究已经证实了在教育背景下使用这种方法的潜力。因此,这些方面未来可以通过深入研究而受益。此外,我们的工具可以进行改进,以为特定手术案例提供更现实的参数范围。