医学图像的三维重建是医学可视化的关键技术之一，目前已成为国内外研究的热点。
Three-dimensional reconstruction of medical image is one of key technology in field of medical visualization, and it has became the focus of the overseas and domestic study.
基于医学图像重建三维表面是医学图像可视化的主要手段之一。
Three-Dimentional surface reconstruction based on medical images is one of the main methods in medical images visualization.
图像分割是很多高级图像处理技术(如可视化、图像压缩、医学图像诊断等)的重要基础工作。
Image segmentation is a key basis of many higher level image processing activities such as visualization, compression, and image guided medical diagnoses.
医学数据可视化在临床上已成为辅助诊断和辅助治疗的重要手段，其技术也成为近年来研究和应用的热点。
Visualization of medical data is an important means for diagnosis and treatment, its techniques have now become the highlights of research and application.
在现代医学中，DSA是X光片血管可视化技术的重要组成部分之一，在DSA中图像配准对消除运动伪影起着关键作用。
In modern medicine, DSA is a powerful technique in visualizations of blood vessels of X-ray images. In DSA, the most important way for motion correction is image registration.
该系统实现了医学图像的三维可视化与剖面显示功能，丰富了PACS的图像处理功能。
This system implemented the function of three dimensional visualization and profile displaying for medical image, and advanced the image processing function of PACS.
数字化人脑图谱是医学图象可视化及脑科学研究的重要工具。
Digitized Human brain Atlas is an important tool for visualization of medical images and investigation of brain science.
如何快速、方便、高效的实现医学数据可视化是个一直在探索的问题。
How to realize a rapid, easy and high effective visualization of medical data has been the issue of study.
后装系统中最关键的技术是医学图像可视化，治疗计划剂量的优化等。
The pivotal techno logies in after-loading system are visualization of medical image, optimization of dose computation calculation, etc.
该系统的研究是科学计算可视化技术的一个重要应用领域，是医学图像处理领域的热点问题。
The system of visualization in scientific computing is an important technology applications in the field of medical image processing is a hot issue.
为此，提出采用VT K库进行医学数据可视化。
Therefore it is proposed that VTK library is used for implementing the visualization of medical data.
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.
针对人体信息系统的三维重建与可视化这一研究课题，本文着重探讨了医学图像边缘检测技术。
Aiming at the research item about 3d rebuilding and visualization of body information system, the author discusses the technique of medical image edge detection emphatically.
在医学图像的三维可视化中，不透明度传递函数和观察角度是需要频繁调节的，因此，难以实现实时体绘制。
In the visualization of 3d medical images, it is common to adjust the opacity transfer function and viewing Angle frequently so that volume rendering is difficult to be realized in real-time.
医学体数据三维可视化技术有着广泛的应用前景。
The 3-d Visualization technique on medical volume data has extensive application and broad prospects.
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.
因此，对医学图像分割及三维可视化的研究具有重要的意义。
So research on Segmentation and 3d visualization of medical images has deep significance.
三维可视化技术是计算机科学领域的一个研究热点，在娱乐、虚拟现实、医学、数字战场等领域都有广泛的应用。
As a hot research focus of computer application, 3-d Visualization technology is widely applied to many fields such as, entertainment, virtual reality, medicine, digital battlefield, and etc.
医学与空间成像在许多方面与地震成像及其类似，包括时间—延迟监测、三维可视化、复杂介质成像和三维近地表成像。
Medial and space imaging problems similar to seismic imaging, including time-lapse monitoring, 3D visualization, complex media imaging and 3D near surface imaging.
考夫曼博士的研究进行了逾35年，在可视化，图形，虚拟现实，用户界面，多媒体和应用，特别是在生物医学。
Dr. Kaufman has conducted research for over 35 years in visualization, graphics, virtual reality, user interfaces, multimedia, and their applications, especially in biomedicine.
而图像的配准、图像分割、体数据集的构建、三维空间插值则是医学图像三维可视化实现过程中的关键技术环节。
The image registering, image segmentation, pixel data set construction and 3d special interpolation are the key technologies in medical images 3d reconstruction.
医学图像可视化是医学图像处理领域中一个十分重要而有价值的部分。
Visualization in medical image is an important part of medical image processing. There is only a short time since it came into being. Its basic theories and applications are under developed.
在分析可视化系统的功能和特性的基础上，设计并实现了一种三维医学数据场可扩展式可视化系统。
Based on the analyzing the functions and characteristics of visualization system, an extendable visualization system for 3d medical data field is presented and realized.
医学图像三维重建是目前科学计算可视化技术中的一个研究热点，在医学领域中有着广泛的应用前景。
At present, 3d reconstruction from medical images is a hot subject in the field of Visualization in Scientific Computing, and it will be applied widely in medicine.
科学计算可视化技术在医学领域中正得到越来越广泛的应用。
Visualization in Scientific Computing is being applied in the field of Medicinal Science increasingly.
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.
重点是二维医学图像的三维可视化系统的构成原理及技术手段、三维医学图像的重构算法的优化改进。
Focus on two-dimensional medical image visualization system theory and the composition of technical means, 3d medical image reconstruction algorithm optimization improvements.
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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