Focus on two-dimensional medical image visualization system theory and the composition of technical means, 3d medical image reconstruction algorithm optimization improvements.
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。
Some experiments on a series of data show that this method is feasible to intermediate contour interpolation, and important in three dimension reconstruction and display of medical image data.
对一系列数据的实验结果表明，它是一种可行的层间轮廓线插值方法，对医学影像数据的三维重建和显示具有重要意义。
In practical clinic application, the 3d reconstruction of the single-modality medical image (ct, MRI) can not provide enough information for clinical doctors.
在临床的实际应用中，单模态的医学图像(CT,MRI)的3d重建不能提供医生所需要的足够信息。
Objective To solve one of the most difficult problems in multi dimensional reconstruction of medical ultrasonic images: image segmentation.
目的解决医学图象多维重建中最困难的问题之一：图像分割问题。
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.
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。
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.
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。
At present, the three-dimensional reconstruction method of medical image, there are two main categories: indirect rendering method and direct rendering method.
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。
Image registration is an important subject in medical image processing. It is fundamental for image matching with atlas, image fusion and micrograph reconstruction.
医学图像配准是医学图像处理中的一个重要研究课题，它是图像融合、图像与标准图谱的匹配、显微图像的重建等研究的基础。
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.
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。
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。
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.
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。
In medical rehabilitation and medical treatment, the 3d reconstruction of the medical image is one of important part.
在医疗康复与医学治疗中，医学图象的三维重建是一个重要的组成部分。
The 2d medical image can be transformed into the 3d image by surface reconstruction and volume rendering.
通过表面重建和体绘制，可将医学二维图象转化为三维图象。
The image registering, image segmentation, pixel data set construction and 3d special interpolation are the key technologies in medical images 3d reconstruction.
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。
Image Mosaic is an important branch in image processing field, and it is widely used in the fields of computer vision, image-based rendering technique, medical image processing and 3d reconstruction.
图像拼接技术是数字图像处理领域里的一个重要分支，它被广泛应用于计算机视觉、全景图构造、医学图像处理应用、3d重构等领域。
With the research development of 3d medical image application in clinic, medical image 3d-reconstruction has become more and more significant.
随着医学图象临床应用研究的深入，基于医学图象的器官三维重构显得越来越重要。
With the research development of 3d medical image application in clinic, medical image 3d-reconstruction has become more and more significant.
随着医学图象临床应用研究的深入，基于医学图象的器官三维重构显得越来越重要。
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