公开(公告)号：US20050185826A1

公开(公告)日：2005-08-25

申请号：US11058784

申请日：2005-02-16

申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao

发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao

IPC分类号： G06K9/64 ,  G06T7/20 ,  G06K9/00

CPC分类号： G06K9/3216 ,  G06K9/6206 ,  G06T7/215 ,  G06T7/269

摘要： A system and method for tracking an object is disclosed. A video sequence including a plurality of image frames are received. A sample based representation of object appearance distribution is maintained. An object is divided into one or more components. For each component, its location and uncertainty with respect to the sample based representation are estimated. Variable-Bandwidth Density Based Fusion (VBDF) is applied to each component to determine a most dominant motion. The motion estimate is used to determine the track of the object.

摘要翻译： 公开了一种跟踪对象的系统和方法。 接收包括多个图像帧的视频序列。 维护对象外观分布的基于样本的表示。 一个对象被分成一个或多个组件。 对于每个组件，估计其相对于基于样本的表示的位置和不确定性。 基于可变带宽密度的融合（VBDF）应用于每个组件以确定最主要的运动。 运动估计用于确定对象的轨迹。

公开(公告)号：US20060171586A1

公开(公告)日：2006-08-03

申请号：US11265772

申请日：2005-11-02

申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao ,  Alok Gupta

发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao ,  Alok Gupta

IPC分类号： G06K9/34 ,  G06K9/00

CPC分类号： G06K9/6255 ,  G06T7/11 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  Y10S128/922 ,  Y10S128/923

摘要： A method for segmenting an anatomical structure of interest within an image is disclosed. The anatomical structure of interest is compared to a database of images of like anatomical structures. Those database images of like anatomical structures that are similar to the anatomical structure of interest are identified. The identified database images are used to detect the anatomical structure of interest in the image. The identified database images are also used to determine the shape of the anatomical structure of interest. The anatomical structure of interest is segmented from the image.

摘要翻译： 公开了一种用于分割图像内感兴趣的解剖结构的方法。 感兴趣的解剖结构与类似解剖结构的图像的数据库进行比较。 识别与感兴趣的解剖结构相似的类似解剖结构的数据库图像。 识别的数据库图像用于检测图像中感兴趣的解剖结构。 所识别的数据库图像也用于确定感兴趣的解剖结构的形状。 感兴趣的解剖结构从图像中分割。

公开(公告)号：US20060239527A1

公开(公告)日：2006-10-26

申请号：US11351060

申请日：2006-02-09

申请人： Sriram Krishnan ,  Dorin Comaniciu ,  Xiang Zhou ,  Bogdan Georgescu ,  Helene Houle ,  R. Rao

发明人： Sriram Krishnan ,  Dorin Comaniciu ,  Xiang Zhou ,  Bogdan Georgescu ,  Helene Houle ,  R. Rao

IPC分类号： G06K9/00

CPC分类号： A61B8/483 ,  A61B6/503 ,  A61B6/504 ,  A61B8/08 ,  A61B8/0883 ,  A61B8/0891

摘要： Three-dimensional cardiac border is delineated in medical imaging. A view is labeled, such as identifying a two-dimensional view as an apical four-chamber view. A three-dimensional border is detected as a function of the view label. For example, the view is associated from a plane through a volume and a known orientation relative to the heart. Labeling the view indicates the orientation of the heart in the scanned volume. By determining the orientation of the heart, border detection processes may be simplified or assisted.

摘要翻译： 在医学成像中描绘了三维心脏边界。 视图被标记，例如将二维视图识别为顶端四室视图。 根据视图标签检测三维边框。 例如，视图从平面通过体积和相对于心脏的已知取向相关联。 标注视图表示心脏在扫描体积中的方向。 通过确定心脏的方向，可以简化或辅助边界检测过程。

公开(公告)号：US07804999B2

公开(公告)日：2010-09-28

申请号：US11372782

申请日：2006-03-10

申请人： Shaohua Kevin Zhou ,  Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu

发明人： Shaohua Kevin Zhou ,  Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu

IPC分类号： G06K9/62 ,  G06K9/00 ,  G06K9/46

CPC分类号： G06K9/6256 ,  G06K2009/00322 ,  G06K2209/05

摘要： A method for performing image based regression using boosting to infer an entity that is associated with an image of an object is disclosed. A regression function for a plurality of images is learned in which for each image the associated entity is known. The learned regression function is used to predict an entity associated with an image in which the entity is not known.

摘要翻译： 公开了一种使用增强来执行基于图像的回归的方法来推断与对象的图像相关联的实体。 学习用于多个图像的回归函数，其中对于每个图像，相关联的实体是已知的。 学习的回归函数用于预测与实体不知道的图像相关联的实体。

公开(公告)号：US20070071313A1

公开(公告)日：2007-03-29

申请号：US11372782

申请日：2006-03-10

申请人： Shaohua Zhou ,  Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu

发明人： Shaohua Zhou ,  Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu

IPC分类号： G06K9/62

CPC分类号： G06K9/6256 ,  G06K2009/00322 ,  G06K2209/05

摘要： A method for performing image based regression using boosting to infer an entity that is associated with an image of an object is disclosed. A regression function for a plurality of images is learned in which for each image the associated entity is known. The learned regression function is used to predict an entity associated with an image in which the entity is not known.

摘要翻译： 公开了一种使用增强来执行基于图像的回归的方法来推断与对象的图像相关联的实体。 学习用于多个图像的回归函数，其中对于每个图像，相关联的实体是已知的。 学习的回归函数用于预测与实体不知道的图像相关联的实体。

公开(公告)号：US07876934B2

公开(公告)日：2011-01-25

申请号：US11265772

申请日：2005-11-02

申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Bharat Rao ,  Alok Gupta

发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Bharat Rao ,  Alok Gupta

IPC分类号： G06K9/00

CPC分类号： G06K9/6255 ,  G06T7/11 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  Y10S128/922 ,  Y10S128/923

摘要： A method for segmenting an anatomical structure of interest within an image is disclosed. The anatomical structure of interest is compared to a database of images of like anatomical structures. Those database images of like anatomical structures that are similar to the anatomical structure of interest are identified. The identified database images are used to detect the anatomical structure of interest in the image. The identified database images are also used to determine the shape of the anatomical structure of interest. The anatomical structure of interest is segmented from the image.

摘要翻译： 公开了一种用于分割图像内感兴趣的解剖结构的方法。 感兴趣的解剖结构与类似解剖结构的图像的数据库进行比较。 识别与感兴趣的解剖结构相似的类似解剖结构的数据库图像。 识别的数据库图像用于检测图像中感兴趣的解剖结构。 所识别的数据库图像也用于确定感兴趣的解剖结构的形状。 感兴趣的解剖结构从图像中分割。

公开(公告)号：US20070046696A1

公开(公告)日：2007-03-01

申请号：US11464851

申请日：2006-08-16

申请人： Yefeng Zheng ,  Xiang Zhou ,  Shaohua Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Xiang Zhou ,  Shaohua Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu

IPC分类号： G09G5/00

CPC分类号： G06K9/6255 ,  G06K9/6206 ,  G06K9/6256

摘要： A system and method for identifying a shape of an anatomical structure in an input image is disclosed. An input image is received and warped using a set of warping templates resulting in a set of warped images. An integral image is calculated for each warped image. Selected features are extracted based on the integral image. A boosted feature score is calculated for the combined selected features for each warped image. The warped images are ranked based on the boosted feature scores. A predetermined number of warped images are selected that have the largest feature scores. Each selected warped image is associated with its corresponding warping template. The corresponding warping templates are associated with stored shape models. The shape of the input image is identified based on the weighted average of the shapes models.

摘要翻译： 公开了一种用于识别输入图像中的解剖结构的形状的系统和方法。 使用一组翘曲模板接收和扭曲输入图像，产生一组翘曲图像。 为每个弯曲图像计算整体图像。 基于积分图像提取所选特征。 对于每个弯曲图像的组合选定特征，计算提升的特征分数。 翘曲的图像根据提升的特征得分进行排名。 选择具有最大特征分数的预定数量的翘曲图像。 每个选择的变形图像与其相应的翘曲模板相关联。 相应的变形模板与存储的形状模型相关联。 基于形状模型的加权平均值来识别输入图像的形状。

公开(公告)号：US20070036414A1

公开(公告)日：2007-02-15

申请号：US11502709

申请日：2006-08-10

申请人： Bogdan Georgescu ,  Xiang Zhou ,  Wei Hong ,  Dorin Comaniciu ,  Sriram Krishnan

发明人： Bogdan Georgescu ,  Xiang Zhou ,  Wei Hong ,  Dorin Comaniciu ,  Sriram Krishnan

IPC分类号： G06K9/00 ,  G06K9/62

CPC分类号： G06T7/149 ,  G06T7/12 ,  G06T2207/10136 ,  G06T2207/20081 ,  G06T2207/30048

摘要： The present invention is directed to a method for automatic detection and segmentation of a target anatomical structure in received three dimensional (3D) volumetric medical images using a database of a set of volumetric images with expertly delineated anatomical structures. A 3D anatomical structure detection and segmentation module is trained offline by learning anatomical structure appearance using the set of expertly delineated anatomical structures. A received volumetric image for the anatomical structure of interest is searched online using the offline learned 3D anatomical structure detection and segmentation module.

摘要翻译： 本发明涉及一种使用具有专门描绘的解剖结构的一组体积图像的数据库来自动检测和分割接收的三维（3D）体积医学图像中的目标解剖结构的方法。 3D解剖结构检测和分割模块通过使用专门描绘的解剖结构集合学习解剖结构外观来进行离线训练。 使用离线学习的3D解剖结构检测和分割模块在线搜索用于感兴趣解剖结构的接收体积图像。

公开(公告)号：US20060064007A1

公开(公告)日：2006-03-23

申请号：US11218018

申请日：2005-09-01

申请人： Dorin Comaniciu ,  Bogdan Georgescu ,  Jing Xiao ,  Xiang Zhou

发明人： Dorin Comaniciu ,  Bogdan Georgescu ,  Jing Xiao ,  Xiang Zhou

IPC分类号： A61B5/05

CPC分类号： G06K9/3216 ,  A61B8/08 ,  A61B8/0883 ,  A61B8/463 ,  A61B8/483 ,  G06K2209/051 ,  G06T7/0016 ,  G06T7/12 ,  G06T7/149 ,  G06T7/246 ,  G06T7/277 ,  G06T2200/04 ,  G06T2200/24 ,  G06T2207/10136 ,  G06T2207/30048 ,  Y10S128/922

摘要： A system and method for defining and tracking a deformable shape of a candidate anatomical structure wall in a three dimensional (3D) image is disclosed. The shape of the candidate anatomical structure is represented by a plurality of labeled 3D landmark points. At least one 3D landmark point of the deformable shape in an image frame is defined. A 3D cuboid is defined around the detected 3D landmark point. For each landmark point associated with the anatomical structure, its location and location uncertainty matrix is estimated in subsequent frames relative to the reference anatomical structures. A shape model is generated to represent dynamics of the deformable shape in subsequent image frames. The shape model includes statistical information from a training data set of 3D images of representative anatomical structures. The shape model is aligned to the deformable shape of the candidate anatomical structure. The shape model is fused with the deformable shape. A current shape of the candidate anatomical structure is estimated.

公开(公告)号：US07747054B2

公开(公告)日：2010-06-29

申请号：US12401899

申请日：2009-03-11

申请人： Xiang Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu ,  R. Bharat Rao ,  Alok Gupta

发明人： Xiang Zhou ,  Bogdan Georgescu ,  Dorin Comaniciu ,  R. Bharat Rao ,  Alok Gupta

IPC分类号： G06K9/00

CPC分类号： G06K9/6206 ,  G06K9/6256 ,  G06T7/12 ,  G06T7/149 ,  G06T7/251 ,  G06T2207/10132 ,  G06T2207/30048

摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.

摘要翻译： 公开了一种使用外观和形状匹配解剖结构的检测框架。 使用图像的训练集，其中在图像中注释对象形状或结构。 图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。 训练集训练的分类算法用于检测其位置的结构。 该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。