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    • 29. 发明申请
    • Fast parametric non-rigid image registration based on feature correspondences
    • 基于特征对应的快速参数非刚性图像配准
    • US20050249434A1
    • 2005-11-10
    • US11099143
    • 2005-04-05
    • Chenyang XuXiaolei HuangYiyong Sun
    • Chenyang XuXiaolei HuangYiyong Sun
    • G06K9/00G06K9/32G06K9/64
    • G06K9/6211
    • A method and system for non-rigidly registering a fixed to a moving image utilizing a B-Spline based free form deformation (FFD) model is disclosed. The methodology utilizes sparse feature correspondences to estimate an elastic deformation field in a closed form. In a multi-resolution manner, the method is able to recover small to large non-rigid deformations. The resulting deformation field is globally smooth and guarantees one-to-one mapping between the images being registered. The method generally comprises the steps of: detecting feature points on the fixed image and feature points on the moving image; assigning a feature vector to each feature point; calculating the dissimilarity of each pair of feature vectors for feature pairs on the fixed image and the moving image; calculating the correspondence between feature pairs based on the dissimilarity measure; solving for a dense deformation field P using a closed form FFD model; and transforming the moving image and the feature points on the moving image using a current FFD deformation field estimate.
    • 公开了一种使用B-Spline的自由形状变形(FFD)模型非固定地将固定到运动图像上的方法和系统。 该方法利用稀疏特征对应来估计封闭形式的弹性变形场。 以多分辨率方式,该方法能够恢复小到大的非刚性变形。 所产生的变形场全局平滑,并保证要注册的图像之间的一对一映射。 该方法通常包括以下步骤:检测固定图像上的特征点和运动图像上的特征点; 向每个特征点分配特征向量; 计算固定图像和运动图像上特征对的每对特征向量的不相似性; 基于不相似度计算特征对之间的对应关系; 使用封闭形式的FFD模型求解致密变形场P; 以及使用当前FFD变形场估计来变换运动图像上的运动图像和特征点。
    • 30. 发明授权
    • Fast 4D segmentation of large datasets using graph cuts
    • 使用图形切割快速4D分割大型数据集
    • US08131075B2
    • 2012-03-06
    • US11927777
    • 2007-10-30
    • Yiyong SunHerve Jun Alfred LombaertFarida Cheriet
    • Yiyong SunHerve Jun Alfred LombaertFarida Cheriet
    • G06K9/34
    • G06K9/342
    • A method for segmenting at least a pair of regions of an image. High resolution data is obtained of the image. Each one of the pair of the regions in the image is marked. Graph cuts are used on the downsampled data to obtain first voxels along an outer boundary of a selected one of the pair of marked regions and second voxels along an inner boundary the selected region. The graphs cuts are projected to the previously obtained high-resolution image data. First and second sets of seeds are placed on the first voxels and a second set of seeds respectively. The first seeds grow into first areas extending inwardly of the selected region while simultaneously the second seeds grow into second areas extending towards the first extending areas until the first areas and the second areas meet to thereby establish the outer boundary of the selected region.
    • 一种用于分割图像的至少一对区域的方法。 获得图像的高分辨率数据。 图像中的一对区域中的每一个被标记。 在下采样数据上使用图形切割以沿着所选择的一对标记区域中的所选择的一个的外边界和沿所选区域的内边界的第二体素获得第一体素。 图形切割投影到先前获得的高分辨率图像数据。 第一组和第二组种子分别放置在第一个体素上,第二组种子分别放置在第一个体素上。 第一种子生长到从所选择的区域向内延伸的第一区域中,同时第二种子生长到朝向第一延伸区域延伸的第二区域,直到第一区域和第二区域相交,从而建立所选区域的外边界。