Conclusion: in the practice of medical image process, we should be very careful in choosing a compression rate.
结论：在医学图像的实践中应慎重选择不同的算法的压缩比。
At the phase of software testing process acceptance, medical image processing software for acceptance testing of the implementation.
在软件测试流程验收阶段，针对医学图像处理软件临床验收测试的执行。
Analyze and compare the common medical image process techniques and algorithms and find out their respective features, application fields and scopes to make greatest advantage.
在此基础上，对现有的常用的医学图像处理技术的方法和算法进行分析比较，分析出各种算法的特点、适用范围以及能够发挥最大优势的使用范围。
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。
On the foundation of analysis of characteristic on medical image data source, the process of image conversion and storage is given.
在分析医学图像数据源的特点基础上，给出图像转换和存储的过程。
Characteristics of medical endoscopic image were analysed, and a new color space suit to express and process this kind of image were derived from RGB color system.
本文利用一个适应于表达和处理彩色医学内窥镜图像的颜色空间，分别从空间域和频率域两个方面讨论了该类图像的增强处理方法。
DT-MRI (or DTI) is a relatively new medical image modality. It's quality degradation caused by noise in the imaging process may result in bad influence on its post-processing steps.
DT - MRI(简称为dti)是一种比较新的医学图像模态，其成像过程中产生的噪声会降低图像质量，可能对其下一步的处理产生影响。
Due to its maturity and the high quality of image, it has already been applied in many medical visualization process systems.
由于该算法成熟，成像质量高，它已在许多医学可视化处理系统中得到了广泛的应用。
A new medical image mutual information registration method, which can speedup the optimized process is proposed for CT and MR medical image auto rigid registration.
为了实现多模态医学图像的配准融合，提出一种加快寻优的医学图像互信息配准算法实现CT和MR图像的配准。
A new medical image mutual information registration method, which can speedup the optimized process is proposed for CT and MR medical image auto rigid registration.
为了实现多模态医学图像的配准融合，提出一种加快寻优的医学图像互信息配准算法实现CT和MR图像的配准。
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