Jain Nishant, Youngblood Patricia, Hasel Matthew, Srivastava Sakti
Division of Clinical Anatomy, Department of Surgery, Stanford University School of Medicine, Stanford, California.
Clin Anat. 2017 Sep;30(6):736-741. doi: 10.1002/ca.22943. Epub 2017 Jul 6.
Augmented Realty (AR) offers a novel method of blending virtual and real anatomy for intuitive spatial learning. Our first aim in the study was to create a prototype AR tool for mobile devices. Our second aim was to complete a technical evaluation of our prototype AR tool focused on measuring the system's ability to accurately render digital content in the real world. We imported Computed Tomography (CT) data derived virtual surface models into a 3D Unity engine environment and implemented an AR algorithm to display these on mobile devices. We investigated the accuracy of the virtual renderings by comparing a physical cube with an identical virtual cube for dimensional accuracy. Our comparative study confirms that our AR tool renders 3D virtual objects with a high level of accuracy as evidenced by the degree of similarity between measurements of the dimensions of a virtual object (a cube) and the corresponding physical object. We developed an inexpensive and user-friendly prototype AR tool for mobile devices that creates highly accurate renderings. This prototype demonstrates an intuitive, portable, and integrated interface for spatial interaction with virtual anatomical specimens. Integrating this AR tool with a library of CT derived surface models provides a platform for spatial learning in the anatomy curriculum. The segmentation methodology implemented to optimize human CT data for mobile viewing can be extended to include anatomical variations and pathologies. The ability of this inexpensive educational platform to deliver a library of interactive, 3D models to students worldwide demonstrates its utility as a supplemental teaching tool that could greatly benefit anatomical instruction. Clin. Anat. 30:736-741, 2017. © 2017Wiley Periodicals, Inc.
增强现实（AR）提供了一种将虚拟解剖结构与真实解剖结构相融合的新颖方法，用于直观的空间学习。本研究的首要目标是为移动设备创建一个AR原型工具。第二个目标是对我们的AR原型工具进行技术评估，重点是测量该系统在现实世界中精确呈现数字内容的能力。我们将源自计算机断层扫描（CT）数据的虚拟表面模型导入到3D Unity引擎环境中，并实现了一种AR算法以在移动设备上显示这些模型。我们通过将一个物理立方体与一个相同的虚拟立方体进行尺寸精度比较，来研究虚拟渲染的准确性。我们的对比研究证实，我们的AR工具能够高精度地渲染3D虚拟物体，这一点从虚拟物体（一个立方体）与相应物理物体尺寸测量之间的相似程度得到了证明。我们为移动设备开发了一个价格低廉且用户友好的AR原型工具，该工具能够创建高度精确的渲染效果。这个原型展示了一个用于与虚拟解剖标本进行空间交互的直观、便携且集成的界面。将这个AR工具与源自CT的表面模型库相结合，为解剖学课程的空间学习提供了一个平台。为优化用于移动查看的人体CT数据而实施的分割方法可以扩展到包括解剖变异和病理学情况。这个价格低廉的教育平台能够向全球学生提供一个交互式3D模型库，证明了其作为一种补充教学工具的实用性，这将极大地有益于解剖学教学。《临床解剖学》30:736 - 741，2017年。© 2017威利期刊公司。
