首页> 外文期刊>Computers & Graphics >Focus plus context visualization based on volume clipping for markerless on-patient medical data visualization
【24h】

Focus plus context visualization based on volume clipping for markerless on-patient medical data visualization

机译:基于体积裁剪的焦点加上下文可视化,可实现无标记的住院医疗数据可视化

获取原文
获取原文并翻译 | 示例

摘要

Focus plus context visualization can be used in augmented reality to improve the visual perception of the augmented scene. In the scope of in situ or on-patient medical data visualization, the focus plus context paradigm is used to improve depth perception for physicians showing the patient's anatomy as a focus region in the context of the patient's body. Volume clipping is one technique to realize focus plus context visualization. However, some of the existing methods for focus plus context visualization based on volume clipping do not run in full real time or are prone to artifacts. In this paper, we present an extension for two of these techniques to improve performance and image quality of the original approaches. We validate all the techniques in a markerless augmented reality environment. A 3D reference model is tracked by the application, and volumetric medical data are shown to the user at the position of the patient's anatomy. Our technique is able to handle multiple anatomic regions, although the main region of interest used in this paper is the face. Moreover, tracking accuracy is improved by the use of a hierarchical approach. From an evaluation of the proposed techniques, the results obtained highlight that all of them are free of artifacts, optimized for real-time performance, and improve the visual quality of the augmented scene. (C) 2015 Elsevier Ltd. All rights reserved.
机译:焦点加上下文可视化可用于增强现实中,以改善增强场景的视觉感知。在原位或患者医疗数据可视化的范围内,焦点加上下文范式用于改善医师的深度知觉,以将患者的解剖结构显示为患者身体上下文中的焦点区域。体裁是实现焦点加上下文可视化的一种技术。但是,基于体积裁剪的用于焦点加上下文可视化的现有方法中的某些方法不能完全实时运行,或者容易出现伪像。在本文中,我们提出了对这两种技术的扩展,以提高原始方法的性能和图像质量。我们在无标记的增强现实环境中验证所有技术。该应用程序可跟踪3D参考模型,并在患者解剖位置向用户显示体积医疗数据。尽管本文使用的主要关注区域是面部,但我们的技术能够处理多个解剖区域。此外,通过使用分层方法可以提高跟踪精度。通过对提出的技术进行评估,获得的结果突出表明,所有技术均不含伪影,已针对实时性能进行了优化,并改善了增强场景的视觉质量。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号