论文标题
混合现实全息图切片机(MXDR-HS):无标记的无形用户界面,用于交互式全息卷可视化
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization
论文作者
论文摘要
混合现实头部安装的显示器(MXDR-HMD)有可能可视化全息图中的体积医学成像数据,以提供真正的体积深度感。但是,有效的用户界面尚未进行彻底研究。有形的用户界面(TUIS)通过对象与全息图实现触觉相互作用。该对象具有物理属性,指示如何使用多个自由度使用。我们建议使用平面对象(PO)进行全息医学量可视化和探索的TUI。我们将其称为MXDR全息图切片机(MXDR-HS)。用户可以将全息图切成薄片,以检查感兴趣的特定区域(ROI)和Intermix互补数据和注释。 MXDR-HS引入了一种新颖的实时临时标记PO跟踪方法,该方法与可见角落的任何PO一起使用。 MXDR-HS的目的是保持最小的计算潜伏期,同时保留实际的跟踪精度,以在商业MXDR-HMD中实现无缝的TUI集成,该商业MXDR-HMD的计算资源有限。我们在带有内置深度摄像头的商业Microsoft Hololens上实现了MXDR-HS。我们的实验结果表明,与两种基于标记的跟踪方法相比,我们的MXDR-HS具有出色的计算潜伏期,但跟踪精度略低,并且比10种无标记的跟踪方法提高了计算潜伏期和跟踪精度。在医疗环境中,我们的MXDR-HS可以作为显示复杂的体积医学成像数据的视觉指南。
Mixed reality head-mounted displays (mxdR-HMD) have the potential to visualize volumetric medical imaging data in holograms to provide a true sense of volumetric depth. An effective user interface, however, has yet to be thoroughly studied. Tangible user interfaces (TUIs) enable a tactile interaction with a hologram through an object. The object has physical properties indicating how it might be used with multiple degrees-of-freedom. We propose a TUI using a planar object (PO) for the holographic medical volume visualization and exploration. We refer to it as mxdR hologram slicer (mxdR-HS). Users can slice the hologram to examine particular regions of interest (ROIs) and intermix complementary data and annotations. The mxdR-HS introduces a novel real-time ad-hoc marker-less PO tracking method that works with any PO where corners are visible. The aim of mxdR-HS is to maintain minimum computational latency while preserving practical tracking accuracy to enable seamless TUI integration in the commercial mxdR-HMD, which has limited computational resources. We implemented the mxdR-HS on a commercial Microsoft HoloLens with a built-in depth camera. Our experimental results showed our mxdR-HS had a superior computational latency but marginally lower tracking accuracy than two marker-based tracking methods and resulted in enhanced computational latency and tracking accuracy than 10 marker-less tracking methods. Our mxdR-HS, in a medical environment, can be suggested as a visual guide to display complex volumetric medical imaging data.