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网络虚拟现实:不同方法和可视化技术在科学研究与医学教育中的潜力

Virtual reality on the web: the potentials of different methodologies and visualization techniques for scientific research and medical education.

作者信息

Kling-Petersen T, Pascher R, Rydmark M

机构信息

Mednet, Goteborg, Sweden.

出版信息

Stud Health Technol Inform. 1999;62:181-6.

PMID:10538352
Abstract

Academic and medical imaging are increasingly using computer based 3D reconstruction and/or visualization. Three-dimensional interactive models play a major role in areas such as preclinical medical education, clinical visualization and medical research. While 3D is comparably easy to do on a high end workstations, distribution and use of interactive 3D graphics necessitate the use of personal computers and the web. Several new techniques have been demonstrated providing interactive 3D via a web browser thereby allowing a limited version of VR to be experienced by a larger majority of students, medical practitioners and researchers. These techniques include QuickTimeVR2 (QTVR), VRML2, QuickDraw3D, OpenGL and Java3D. In order to test the usability of the different techniques, Mednet have initiated a number of projects designed to evaluate the potentials of 3D techniques for scientific reporting, clinical visualization and medical education. These include datasets created by manual tracing followed by triangulation, smoothing and 3D visualization, MRI or high-resolution laserscanning. Preliminary results indicate that both VRML and QTVR fulfills most of the requirements of web based, interactive 3D visualization, whereas QuickDraw3D is too limited. Presently, the JAVA 3D has not yet reached a level where in depth testing is possible. The use of high-resolution laserscanning is an important addition to 3D digitization.

摘要

学术和医学成像越来越多地使用基于计算机的3D重建和/或可视化技术。三维交互式模型在临床前医学教育、临床可视化和医学研究等领域发挥着重要作用。虽然在高端工作站上进行3D操作相对容易,但交互式3D图形的分发和使用需要借助个人计算机和网络。已经展示了几种新技术,可通过网络浏览器提供交互式3D,从而使大多数学生、医学从业者和研究人员能够体验有限版本的虚拟现实(VR)。这些技术包括QuickTimeVR2(QTVR)、VRML2、QuickDraw3D、OpenGL和Java3D。为了测试不同技术的可用性,Mednet启动了多个项目,旨在评估3D技术在科学报告、临床可视化和医学教育方面的潜力。这些项目包括通过手动追踪创建数据集,随后进行三角测量、平滑处理和3D可视化、MRI或高分辨率激光扫描。初步结果表明,VRML和QTVR都满足基于网络的交互式3D可视化的大部分要求,而QuickDraw3D则过于受限。目前,JAVA 3D尚未达到能够进行深入测试的水平。高分辨率激光扫描的应用是3D数字化的一项重要补充。

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