实践证明，使用VTK开发医学图像三维重建系统，重建效果好，开发时间少，代码重用率高。
Practice proves, using VTK to develop medical images' reconstruction system has good reconstruction results, less development time and high code reuse rate.
医学图像三维重建为人体结构提供了真实、直观的反映，便于医学人员对病灶的观察及手术的进行。
Three dimensions reconstruction of CT image gives a intuitionistic image of body. It is convenient to observation and operation.
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.
目的将超声医学图像三维重建技术与多普勒血流成像技术结合起来，实现超声血流图的动态三维重建。
Objective To implement dynamic 3d reconstruction of ultrasonic flow images by the technique of 3d reconstruction of ultrasonic medical images combined with Doppler flow imaging method.
该文综述了当前医学图像三维重建中基于光线投射算法的几种改进算法，对各种改进算法的优缺点进行了比较。
This paper summarizes some improved algorithm of Ray-casting algorithm apply to current Three-dimensional reconstruction of medical images and compare their merits and demerits.
移动立方体(MC)算法是基于规则体数据抽取等值面的经典算法，本文最后设计开发了一个基于MC算法的医学图像三维重建系统。
Marching cubes (MC) algorithm is a classical algorithm to extract iso-surface from regular volume data. At last, a medical images reconstruction system based on MC algorithm is developed.
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.
当前，医学图像的三维重建方法主要有两大类：间接绘制方法和直接绘制方法。
At present, the three-dimensional reconstruction method of medical image, there are two main categories: indirect rendering method and direct rendering method.
医学图像分析和三维重建等都需要对DICOM数据进行准确的序列分析并对各序列中的切片进行正确的排序。
Accurately analyzing sequences (or volumes) of clinical DICOM data and sorting the slices in each volume is a prerequisite for medical image analysis and three-dimensional (3d) reconstruction.
本文主要研究医学图像的三维重建、三维切割技术以及三维切割的应用。
This dissertation, mostly studies the technology of three-dimensional reconstruction and clipping from medical images and the application of three-dimensional clipping.
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.
基于医学图像的人工关节三维重建系统研究是一个典型的多学科交叉领域，它涉及到医学图像处理、三维重建、虚拟仿生制造等相关技术。
Artificial Joint reconstruction System based medical image is a typical multi-subjects field. It involves medical image process, three-dimensional reconstruction and virtual bionic manufacturing, etc.
在CT脑血管医学图像断层间三维重建图形配准中，提出了基于图像内部各个血管轮廓间相对位置信息的优化新算法。
A novel registration algorithm is presented for ct cerebrovascular medical image 3-d reconstruction based on the mutual location information of individual contours of the image set.
该方法类似于医学数据三维重建，由一序列的分层切片的二维图像重构三维形体。
This method is similar to 3d-reconstruction of medicinal data, which is a process from 2d-slice to 3d - geometric.
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.
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.
应用推荐