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。
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。
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 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 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。
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。
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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