Venn John, Larkee Christopher E, Garcia Guilherme J M, Rayz Vitaliy L, LaDisa John F
Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, United States.
Opus College of Engineering, Marquette University, Milwaukee, WI, United States.
Front Med Technol. 2023 Feb 23;5:1096289. doi: 10.3389/fmedt.2023.1096289. eCollection 2023.
Researchers conducting computational fluid dynamics (CFD) modeling can spend weeks obtaining imaging data, determining boundary conditions, running simulations and post-processing files. However, results are typically viewed on a 2D display and often at one point in time thus reducing the dynamic and inherently three-dimensional data to a static image. Results from different pathologic states or cases are rarely compared in real-time, and supplementary data are seldom included. Therefore, only a fraction of CFD results are typically studied in detail, and associations between mechanical stimuli and biological response may be overlooked. Virtual and augmented reality facilitate stereoscopic viewing that may foster extraction of more information from CFD results by taking advantage of improved depth cues, as well as custom content development and interactivity, all within an immersive approach. Our objective was to develop a straightforward, semi-automated workflow for enhanced viewing of CFD results and associated data in an immersive virtual environment (IVE). The workflow supports common CFD software and has been successfully completed by novice users in about an hour, demonstrating its ease of use. Moreover, its utility is demonstrated across clinical research areas and IVE platforms spanning a range of cost and development considerations. We are optimistic that this advancement, which decreases and simplifies the steps to facilitate more widespread use of immersive CFD viewing, will foster more efficient collaboration between engineers and clinicians. Initial clinical feedback is presented, and instructional videos, manuals, templates and sample data are provided online to facilitate adoption by the community.
进行计算流体动力学(CFD)建模的研究人员可能要花费数周时间来获取成像数据、确定边界条件、运行模拟以及处理后的数据文件。然而,结果通常在二维显示器上查看,并且往往是在某个时间点查看,从而将动态的、本质上三维的数据简化为静态图像。不同病理状态或病例的结果很少实时比较,并且很少包含补充数据。因此,通常只有一小部分CFD结果会被详细研究,机械刺激与生物反应之间的关联可能会被忽视。虚拟现实和增强现实有助于立体观看,通过利用改进的深度线索以及定制内容开发和交互性,在沉浸式方法中可以从CFD结果中提取更多信息。我们的目标是开发一种简单的半自动工作流程,以在沉浸式虚拟环境(IVE)中增强对CFD结果和相关数据的查看。该工作流程支持常见的CFD软件,新手用户大约一小时就能成功完成,展示了其易用性。此外,它在跨越一系列成本和开发考量的临床研究领域和IVE平台上都得到了应用。我们乐观地认为,这一进步减少并简化了步骤,便于更广泛地使用沉浸式CFD查看,将促进工程师和临床医生之间更高效的合作。本文给出了初步的临床反馈,并在网上提供了教学视频、手册、模板和示例数据,以方便社区采用。