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Visualizing and segmenting large volumetric data sets

机译:可视化和分割大体积数据集

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Current systems for segmenting and visualizing volumetric data sets characteristically require the user to possess a technical sophistication in volume visualization techniques, thus restricting the potential audience of users. As large volumetric data sets become more common, segmentation and visualization tools need to deemphasize the technical aspects of visualization and let users exploit their content knowledge of the data set. This proves especially critical in an educational setting. In anatomical education, data sets such as the Visible Human Project provide significant learning opportunities, but students must have tools that let them apply, refine, and build on their anatomical knowledge without technical obstacles. I describe a software environment that uses immersive virtual reality technology to let users immediately apply their expert knowledge to exploring and visualizing volumetric data sets.
机译:当前用于分割和可视化体积数据集的系统典型地要求用户在体积可视化技术上具有技术上的先进性,从而限制了潜在的用户群体。随着大容量数据集变得越来越普遍,分段和可视化工具需要不重视可视化的技术方面,并让用户利用其对数据集的内容知识。在教育环境中,这一点尤为重要。在解剖学教育中,诸如“可见人类项目”之类的数据集提供了重要的学习机会,但是学生必须拥有能够使他们应用,完善和建立自己的解剖学知识而没有技术障碍的工具。我描述了一种使用沉浸式虚拟现实技术的软件环境,该软件环境使用户可以立即将其专业知识应用于探索和可视化体积数据集。

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