论文标题

人脊柱生物力学用于脊柱手术的可视化

Visualization of Human Spine Biomechanics for Spinal Surgery

论文作者

Eulzer, Pepe, Bauer, Sabine, Kilian, Francis, Lawonn, Kai

论文摘要

我们提出了一个可视化应用程序,专为探索人脊柱模拟数据而设计。我们的目标是支持在生物力学脊柱模拟中的研究,并提前努力在手术应用中实施模拟支持的分析。生物力学模拟是一种用于分析脊柱结构负载分布的最新技术。通过包含患者的数据,此类模拟可以促进个性化治疗和定制的手术干预措施。脊柱建模和仿真的困难可能部分归因于结果表现不佳,这在将此类技术引入临床环境时也可能是一种障碍。比较多个类似的解剖结构的测量以及时间数据的集成使通常可用的图表和图表不足以实现结果的直观和系统性显示。因此,我们促进了诸如多种协调视图,抽象和焦点和上下文之类的方法,以在专用工具中显示仿真结果。通过将结果数据与患者特异性解剖结合起来,我们使临床医生有形相关参数。此外,我们介绍了新的概念,以显示影响力向量的方向,这些方向是以前无法访问的。我们将工具集整合到脊柱分割和仿真管道中,并与外科医生和生物力学研究人员一起评估了我们的方法。将我们的方法与当前使用的标准表示形式进行比较时,我们发现数据探索任务的准确性和速度提高。在定性综述中,领域专家认为该工具在处理模拟结果数据时非常有用,该数据通常结合了时间依赖于时间的患者运动和脊柱结构上的作用力分布。

We propose a visualization application, designed for the exploration of human spine simulation data. Our goal is to support research in biomechanical spine simulation and advance efforts to implement simulation-backed analysis in surgical applications. Biomechanical simulation is a state-of-the-art technique for analyzing load distributions of spinal structures. Through the inclusion of patient-specific data, such simulations may facilitate personalized treatment and customized surgical interventions. Difficulties in spine modelling and simulation can be partly attributed to poor result representation, which may also be a hindrance when introducing such techniques into a clinical environment. Comparisons of measurements across multiple similar anatomical structures and the integration of temporal data make commonly available diagrams and charts insufficient for an intuitive and systematic display of results. Therefore, we facilitate methods such as multiple coordinated views, abstraction and focus and context to display simulation outcomes in a dedicated tool. By linking the result data with patient-specific anatomy, we make relevant parameters tangible for clinicians. Furthermore, we introduce new concepts to show the directions of impact force vectors, which were not accessible before. We integrated our toolset into a spine segmentation and simulation pipeline and evaluated our methods with both surgeons and biomechanical researchers. When comparing our methods against standard representations that are currently in use, we found increases in accuracy and speed in data exploration tasks. In a qualitative review, domain experts deemed the tool highly useful when dealing with simulation result data, which typically combines time-dependent patient movement and the resulting force distributions on spinal structures.

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