为了实现多模态图像间的快速自动配准，本文提出了基于角点检测结合区域匹配的图像自动配准算法。
In order to realize fast automatic registration among multimodal images, an image registration method using both corners and area-based matching is presented in thesis.
在图像配准中常常需要把来源于不同成像设备的图像进行配准处理，这些不同成像模式的图像称为多模态图像。
The images which need to register each other are always beyond one-modal images. In many cases, it is required to align images taken from different imaging apparatus.
根据测试的结果，我们可以认为这一配准方法可以很好的解决多模态图像的配准问题，具有较高的精度和鲁棒性。
The results tell us this method is very suitable for multi-modal images and has high precision and robust.
方法提出一种基于自由变形模型的多模态医学图像的非刚性配准的方法。
Method A non-rigid registration method of multimodal medical images based on Free Form Deformation(FFD) was proposed.
多模态医学图像的配准在医学诊断和治疗计划中起着重要的作用。
Multimodality medical image registration has important applications in clinical diagnosis and therapy planning.
本文主要内容是关于多模态医学图像融合的研究和实现。
This paper aims at pilot study on multimodality medical image fusion.
本文首先研究了基于多模态刚性图像配准的图像定位系统的有关设计和实现。
Firstly, we researched the design and implementation of the image guided localization system based on multimodality image 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.
多模态医学图像融合在医学图像的分析和诊断上具有极为重要的应用价值。
Multi-modality medical image fusion plays an important role in medical analysis and diagnosis.
提出了一种用于多模态医学图像处理的特定区域轮廓提取算法。
This paper approves a novel contour extraction algorithm of special region to resolve the problems in multi - mode medical image registration.
为了准确、可靠地配准多模态医学图像，提出了一种基于互信息的全局优化配准算法。
A global optimization method based on mutual information is proposed for multimodality medical image registration.
另一方面，本研究为解读和欣赏图像提供了新方法——多模态话语分析，并且希望能为提高人们的图像阅读能力有所帮助。
On the other hand, the present study suggests a new approach-MDA-to the interpretation and appreciation of images and aims at making contributions to the improvement of people's visual literacy.
提出了一种全自动、多模态的信息融合解决方案用于配准视频图像和磁跟踪数据。
The paper reports a fully-automated, multiple-modality sensor data registration scheme between video and magnetic tracker data.
为了改善图像标注的性能，提出了一种基于多模态关联图的图像语义标注方法。
In order to improve the performance of the image annotation, an image semantic annotation method based on multi-modal relational graph was proposed.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
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