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31. 发明申请

US20070247476A1 Fast smooth up-sampling of binary volumes derived from medical imaging 审中-公开
标题翻译：从医学成像衍生的二进制体积的快速平滑上采样
公开(公告)号：US20070247476A1
公开(公告)日：2007-10-25
申请号：US11699188
申请日：2007-01-29
申请人： Liron Yatziv , Yiyong Sun , Chenyang Xu
发明人： Liron Yatziv , Yiyong Sun , Chenyang Xu
IPC分类号： G09G5/00
CPC分类号： G06T3/4023
摘要： This invention describes a computer method of up-sampling (enlarging) a binary volume where the shapes and regions in the final up-sampled volume have smooth shapes and regions without the jagged edges exhibited in the up-sampled volumes processed by conventional methods. This up-sampling method is suitable for any multi-dimensional binary volumes including 3 dimensional medical imaging data.
摘要翻译：本发明描述了一种二进制体积的上采样（放大）的计算机方法，其中最终上采样体积中的形状和区域具有平滑形状和区域，而在通过常规方法处理的上采样体积中没有锯齿状边缘。该采样方法适用于包括三维医学成像数据的任何多维二进制体积。

32. 发明申请

US20060159342A1 Multilevel image segmentation 有权
标题翻译：多级图像分割
公开(公告)号：US20060159342A1
公开(公告)日：2006-07-20
申请号：US11313102
申请日：2005-12-20
申请人： Yiyong Sun , Herve Lombaert , Leo Grady , Chenyang Xu
发明人： Yiyong Sun , Herve Lombaert , Leo Grady , Chenyang Xu
IPC分类号： G06K9/34
CPC分类号： G06T7/0081 , G06K9/342 , G06T7/11 , G06T7/162 , G06T7/174 , G06T2207/20016 , G06T2207/20036 , G06T2207/20101 , G06T2207/30048
摘要： A multilevel image segmentation technique using graph cuts is disclosed. A reduced resolution image is generated from a full resolution image which is to be segmented. The reduced resolution image is then segmented in order to identify a boundary between an object and a background within the image. The identified boundary then identifies a portion of an increased resolution image which is segmented in order to refine the earlier identified boundary. The steps may be iterated for successively increasing image resolutions in order to refine the boundary as required by a particular application. An initial identification of object and background portions of the image may be provided as input by a user. Alternatively, a user may identify only the object portion, and the background portion may be automatically determined.
摘要翻译：公开了使用图形切割的多级图像分割技术。从要分割的全分辨率图像生成缩小分辨率图像。然后将分辨率降低的图像分割以识别图像内的对象和背景之间的边界。所识别的边界然后识别分段的增加的分辨率图像的一部分，以便改进先前识别的边界。可以迭代步骤以连续增加图像分辨率，以便根据特定应用的要求来细化边界。图像的对象和背景部分的初始识别可以被提供为用户的输入。或者，用户可以仅标识对象部分，并且背景部分可以被自动确定。

33. 发明申请

US20060159323A1 System and method for automatically registering three dimensional cardiac images with electro-anatomical cardiac mapping data 有权
标题翻译：用于自动记录三维心脏图像与电解剖心脏图像数据的系统和方法
公开(公告)号：US20060159323A1
公开(公告)日：2006-07-20
申请号：US11330633
申请日：2006-01-12
申请人： Yiyong Sun , Fred Azar , Chenyang Xu , Frank Sauer , Norbert Rahn
发明人： Yiyong Sun , Fred Azar , Chenyang Xu , Frank Sauer , Norbert Rahn
IPC分类号： G06K9/00 , G06K9/32
CPC分类号： A61B5/0035 , A61B5/042 , A61B5/055 , A61B6/03 , G06T7/33 , G06T2207/30048
摘要： A system and method for automatically registering a three dimensional (3D) pre-operative image of an anatomical structure with intra-operative electrophysiological (EP) points of a 3D electro-anatomical (EA) image map of the anatomical structure is disclosed. The pre-operative image is displayed in a first supporting view. The intra-operative EA image map is displayed in a second supporting view. An alignment of the pre-operative image with the intra-operative map is performed by identifying at least one corresponding point on each image. The view of the pre-operative image is integrated with the EA map based on the alignment.
摘要翻译：公开了一种用于自动登记解剖结构的三维（3D）术前图像的解剖结构的3D电解剖（EA）图像的手术电生理（EP）点的系统和方法。术前图像显示在第一支持视图中。术中EA图像映射显示在第二支持视图中。通过识别每个图像上的至少一个对应点来执行术前图像与手术前图像的对准。基于对齐，将术前图像的视图与EA图集成。

34. 发明申请

US20050249434A1 Fast parametric non-rigid image registration based on feature correspondences 失效
标题翻译：基于特征对应的快速参数非刚性图像配准
公开(公告)号：US20050249434A1
公开(公告)日：2005-11-10
申请号：US11099143
申请日：2005-04-05
申请人： Chenyang Xu , Xiaolei Huang , Yiyong Sun
发明人： Chenyang Xu , Xiaolei Huang , Yiyong Sun
IPC分类号： G06K9/00 , G06K9/32 , G06K9/64
CPC分类号： G06K9/6211
摘要： 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.
摘要翻译：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。

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