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- A Fast Brain Image Registration System Based on Man Machine Interaction 一种人机交互式快速脑图像配准系统
- brain image registration 大脑图像配准
- Fundamentals of Medical Image Registration. 医学成像的限制基础。
- Extraction of cerebrum from raw MRI volume data is an important work for visualization of human brain, analysis of morphology and image registration. 将人的大脑从MR图像体数据中提取出来是脑的可视化、形态学分析、脑图象配准等多种工作的重要基础。
- For the brain functional image registration optimization problem, we presented a new Taboo search based on memory, named the memory taboo search. 针对脑功能成像中图像配准的优化模型,提出了一种基于记忆的禁忌算法。
- A hybrid non-rigid method is presented based on B-splines interpolation function and landmarks of the image for human brain MR images registration. 摘要提出了一种B样条插值函数结合图像特征标记的人脑MR图像非刚体配准方法。
- Is Hysteria Real? Brain Images Say Yes! 癔症是真的吗?脑成像技术告诉我们那时肯定的！
- Two elastic registration methods based on two sets of corresponding feature points for human eyeground and brain images are presented. 使用薄板样条方法,利用两个对应标志点集对眼底、脑等多种医学图像进行弹性配准。
- Obtaining the shape of the brain is an important step for shape visualization, morphological analysis and registration of brain images. 脑表面形态的提取是脑的可视化、形态学分析、脑图像配准等多种工作的基础。
- The function curves and convergence are compared by applying five subsampling methods to the rigid registration of brain images. 通过对人体脑部的刚体配准实验，从函数曲线和收敛性能方面，对比分析了五种数据抽样方法。
- A new correlation ratio similarity measure in voxel intensity based medical image registration field was adopted. 在基于体素灰度的医学图像配准领域,本文采用了全新的相关比相似性测度作为配准的测度准则。
- Moreover,the errors in RCPs are one of main sources lowering the accuracy of image registration of uncorrected image. 在遥感影像配准过程中,通常假设控制点是“完美的”。
- Image registration is an important technique in image fusion and moving target detection (MTD). 摘要图像配准是图像融合、运动目标检测中的关键技术之一。
- An improved image registration algorithm was proposed to match the standard template and the being tested image. 提出了一种改进的图像配准算法对标准模板图像和待测图像进行匹配。
- Image registration process is presented and the method is validated by experiment of shifted image registration. 然后给出了图像配准的过程，并利用人工平移图像配准对该方法进行了实验验证。
- Brain imaging techniques are available, such as MRI and PET scans. 大脑成像技术是可行的，就象核磁共振和性能鉴定扫描。
- Non-iterative automatic image registration method based on gradient phase correlation is proposed. 提出了非迭代的基于梯度相位相关的图像自动配准方法。
- Mutual information is an important method for multimodal medical image registration. 互信息是多模态医学图像配准的一种重要方法。
- Firstly, reference image is rotated to suit for the rotated multisensor image registration. 把控制点理论应用于灰度匹配得到的匹配点；
- Image registration is still in the state of development, and it has a long way for us to go in order to make accuracy, speediness and a... 但是,图像配准是一个尚处在发展阶段的学科,实现配准的精确化、快速化、自动化仍需要进一步的努力。
