医学图像的配准和融合是医学图像处理的一个新的领域，其目的是为医生提供更多的诊断信息。
Medical image registration and merging is a new area in medical image processing the purpose is to provide more diagnostic information to the physicians.
它不仅可以将同一病人的切片图像进行配准融合以便于医学诊断，而且可以将不同病人之间以及病人与标准图谱之间进行处理。
We can't only do this in different cross-sections of same patient, but also do it between different patients, and images of patient to standard atlas.
多传感器图像自动配准技术是军事领域里多传感器图像融合的必要前提。
Multiple sensor images automated registration is the necessary premise for mutiple sensor image fusion in military field.
本文基于图像配准融合技术，研究了利用多幅普通图像合成高动态范围图像的方法。
Based on the image alignment and fusion technique, a method for fusing multiple photographs into a high dynamic range image is studied.
图像融合前均行颅脑mri薄层扫描及常规X刀术前CT定位扫描，然后将CT和MRI图像资料传输至工作站上进行图像配准和融合。
Before the fusion of ct and MRI images MRI scan and ct scan for location of X-knife were performed respectively, then MR and ct image were transferred to workstation for the fusion of images.
结果：使得融合后图像有很强的抗配准偏差能力，并且能极大程度地保留原来解剖性信息图像和功能性图像的信息。
Results: the image fusion was capable to balance registration error and could reserve the anatomical and functional information to a great extent.
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.
本文首先介绍了图像配准与融合的概念与主流方法，分析了研究现状。
This paper begins with the concepts and popular methods of image registration and fusion, and then analyzes its current research situation.
医学图像配准与信息融合是当代信息科学、计算机图像技术与当代医学等多学科交叉的一个研究领域。
Medical image registration and fusion is a crossing research topic of information science, computer image technology and modern medicine.
目的探索建立三维核医学图像配准和融合进行心肌存活评价的定量分析方法。
Objective To establish a new quantitative analyzing method for myocardial viability evaluation based on the 3-d registration and fusion of the nuclear medicine images.
医学图像配准作为图像融合的先决条件，它的研究是医学图像处理领域的热点。
Medical image registration as a prerequisite for image fusion, its research is a hot in the area of medical image processing.
图像融合就是将两幅已经配准的图像中有用的信息综合到一幅图像中并以可视化方法现实的技术。
Image fusion is the technique in which useful information from two registered images is integrated into one image and presented by the method of visualization technology.
这种将不同模式的图像信息整合成一种新模式的图像称为医学图像的融合，而融合的第一步先要配准。
The new image which is integrated from different modes images called the medical image fusion and the first step of fusion is image registration.
遥感影像的配准与融合是遥感领域中的一项重要的图像处理技术。
Remote sensing image registration and fusion is an important image processing technology in remote sense field.
针对不同视场的多源图像融合技术，本文提出一种仿射变换和线性插值相结合的配准方法；
Zhendui different field of multi-source image fusion, we propose a affine transformation and linear combination of registration methods;
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.
图像配准技术是图像融合、图像镶嵌以及影像三维重建的基础。
The technique of image matching is the basis of image fusion, image mosaic and scene 3D reconstruction.
利用图像配准技术和融合技术，对两个同质传感器拍摄的车辆图像进行配准和融合。
Using the image registration technology and fusion technology, vehicles image collected by two homogeneity sensors are registered and fused;
利用图像配准技术和融合技术，对两个同质传感器拍摄的车辆图像进行配准和融合。
Using the image registration technology and fusion technology, vehicles image collected by two homogeneity sensors are registered and fused;
应用推荐