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Improving On-Patient Medical Data Visualization in a Markerless Augmented Reality Environment by Volume Clipping

机译:通过体积裁剪改善无标记增强现实环境中的患者医疗数据可视化

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To improve the human perception of an augmented reality scene, its virtual and real entities can be rendered according to the focus+context visualization. This paradigm is specially important in the field of on-patient medical data visualization, as it provides insight to the physicians about the spatial relations between the patient's anatomy (focus region) and his entire body (context region). However, the current existing methods proposed in this field do not give special treatment to the effect of volume clipping, which can open new ways for physicians to explore and understand the entire scene. In this paper we introduce an on-patient focus+context medical data visualization based on volume clipping. It is proposed in a markerless augmented reality environment. From the estimated camera pose, the volumetric medical data can be displayed to a physician inside the patient's anatomy at the location of the real anatomy. To improve the visual quality of the final scene, three methods based on volume clipping are proposed to allow new focus+context visualizations. Moreover, the whole solution supports occlusion handling. From the evaluation of the proposed techniques, the results obtained highlight that these methods improve the visual quality of the final rendering. Furthermore, the application still runs in realtime.
机译:为了改善人类对增强现实场景的感知,可以根据焦点+上下文可视化来渲染其虚拟和真实实体。这种范例在患者医疗数据可视化领域中特别重要,因为它为医生提供了有关患者的解剖结构(焦点区域)和他的整个身体(上下文区域)之间的空间关系的见解。然而,目前在该领域中提出的现有方法并未对体积修剪的效果进行特殊处理,这可以为医生探索和理解整个场景开辟新的途径。在本文中,我们介绍了基于体积裁剪的住院病人重点+上下文医疗数据可视化。它是在无标记的增强现实环境中提出的。从估计的相机姿势,可以在真实解剖结构的位置将体积医学数据显示给患者解剖结构内部的医师。为了提高最终场景的视觉质量,提出了三种基于体裁的方法以实现新的焦点+上下文可视化。而且,整个解决方案都支持遮挡处理。通过对提出的技术进行评估,获得的结果突出表明这些方法可以改善最终渲染的视觉质量。此外,该应用程序仍实时运行。

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