医学图像的三维重建是医学数据三维可视化研究的主要内容，也是科学数据可视化研究的一个重要分支。
The 3D reconstruction of medical image is the main area in medical dada 3D visualization, and is a important research branch in science data visualization too.
VTK是一个用来进行数据可视化和图像处理的开放源码系统，它在科学社区中被广泛地使用。
The VTK is an open source system for data visualization and image processing that is widely used in the scientific community.
或称为来自微软研究院计算科学实验室的微软可视化语言，是一门用于创建交互的对数据进行可视化处理的语言。
Vedea, or Microsoft visualization language from Microsoft Research Computational Science Laboratory, is a new language for creating interactive data-driven visualizations.
为了将特殊元数据标准的使用方式和时机通过可视化图表现出来，爱达荷和北卡罗来纳的文库科学家们创作上述图片，该作品亦位列十佳之列。
To visualize how and when to use a particular metadata standard, library scientists in Idaho and North Carolina created this map, which was among the winners.
Processing不仅可被工程师和科学家用来实现数据可视化，也可以被艺术家和那些对学习编程和可视化设计感兴趣的人使用。
Processing is used not only by engineers and scientists for data visualization but also by artists and those interested in learning programming and visual design.
科学可视化技术的出现使得三维数据三维解释成为可能。
The emergence of Scientific Visualization technology makes possible of three-dimensional data in three-dimensional interpretation.
基于散乱数据点集构造三角插值曲面的方法，在CAD/CAM、科学计算可视化、图像处理等领域有着广泛的应用。
The triangular interpolating surface construction based on scattered data points has extensive applications in CAD/CAM, scientific visualization, image processing.
研究人员将把发现作为资源提供给科学社区，然后大家一起对这些数据进行可视化、运用和优化。
Researchers will provide their findings as a resource to the scientific community and then work with the community on visualizing, using and refining the data.
地质体可视化的关键点在于如何将数据数值映射到几何数据，即如何来建立科学数据的几何模型。
Geological visualization methods on how to mapping the geometry data by data numeric value. that is, how establish the scientific data geometries model.
科学计算可视化中数据场可视化的一个关键问题，是如何运用不同的颜色来表达和区分不同的数据源。
A key problem of the visualization of data field in VISC (visualization in Scientific Computing) is how to use different colors to express and distinguish variable data.
因此，数据可视化是人们研究科学、认识世界所不可缺少的手段。
Therefore, data visualization is people study science, understanding of the world are indispensable tools.
作为一门交叉学科，它建立在数据库、数据仓库、人工智能、统计学、数据可视化、系统科学等学科基础之上。
As a crossing discipline, It sets up on the foundation of disciplines, such as data base, data warehouse, artificial intelligence, statistics, data visualizing, systematic science, etc.
近几年来，科学计算可视化又扩展到工程计算可视化及测量数据可视化。
In recent years, it is expanded to visualization in engineering calculation and data measure.
它利用医学影像作为原始数据，融合图像处理、计算机图形学、科学计算可视化、虚拟现实技术，模拟传统光学内窥镜的一种技术。
It simulates optics endoscopy with medical images. Virtual endoscopy incorporates Computer Graphics, image Processing, Scientific Computing Visualization, and Virtual Reality, etc.
它利用医学影像作为原始数据，融合图像处理、计算机图形学、科学计算可视化、虚拟现实技术，模拟传统光学内窥镜的一种技术。
It simulates optics endoscopy by use of medical images. Virtual endoscopy incorporates the research about Computer Graphics, image Processing, Scientific Computing Visualization, Virtual Reality, etc.
科学可视化运用可视化技术在三维数据场上显示科学计算结果，包括逻辑布局的仿真模拟、计算结果数据的后处理和交互处理。
Science visualizing is to display result on 3-d data field using visualizing technology. It consist of simulation of logic layout, the after-treat and alternation-treat of result.
在科学计算可视化中，由于直接体可视化技术能够反映数据场内部的信息，所以它已经成为近年来研究的重点。
In visualization of scientific computation, because the volume visualization can display the inner information of 3d data sets, it has become researching emphasis in recently years.
离散数据网格化是科学和工程研究领域中数据处理的核心技术，同时它也是科学可视化的前提。
The gridding of discrete data is the kernel technique of data processing methods in scientific and engineering research. Meanwhile, it is the base of scientific visualization.
医学三维数据场可视化是当前科学计算可视化应用的重点。
The visualization of medical 3-D data is a main application of Scientific Visualization.
医学三维数据场可视化是当前科学计算可视化应用的重点。
The visualization of medical 3-D data is a main application of Scientific Visualization.
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