医疗图像的交互式,浏览器内电影体积染
Jiayi Xu1, Gaspard Thevenon1, Timothee Chabat1
1Kitware, Inc.
概括
本研究介绍了WebXR的开源电影体积染 (CVR) 扩展,增强浏览器和虚拟现实中的医疗图像可视化. 它为在医学成像应用中选择CVR算法提供了宝贵的见解.
科学领域:
- 医疗成像医学成像
- 计算机图形 计算机图形
- 网络技术 网络技术
背景情况:
- 电影体积染 (CVR) 对医疗图像可视化越来越重要.
- WebXR在增强现实和虚拟现实应用中越来越受欢迎.
- 现有的CVR解决方案缺乏对基于Web的XR的全面开源支持.
研究的目的:
- 为 vtk.js 工具包引入 CVR 扩展,实现 WebXR 兼容性.
- 在不同的医疗数据集上评估不同CVR技术的性能和质量.
- 在Web浏览器和XR研究中提供CVR的开源基础.
主要方法:
- 开发了vtk.js的CVR扩展,整合了WebXR支持.
- 进行研究以评估各种CVR方法的速度和视觉质量.
- 利用各种医学成像数据进行评估.
主要成果:
- 成功地将CVR扩展程序集成到vtk.js中,并支持WebXR.
- 量化了不同CVR技术的速度和质量权衡.
- 展示了开源解决方案用于医疗数据可视化的实用性.
结论:
- 开发的开源CVR解决方案为基于Web的医疗可视化和XR应用提供了一个强大的平台.
- 这项工作使医学成像研究人员和开发人员能够做出明智的CVR算法选择.
- 在医学成像,网络可视化和XR交叉点建立未来创新的基础.
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