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：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：US20070237370A1

公开(公告)日：2007-10-11

申请号：US11539989

申请日：2006-10-10

申请人： Shaohua Zhou ,  Jie Shao ,  Jonathan Dowdall ,  Adrian Barbu ,  Bogdan Georgescu ,  Dorin Comaniciu

发明人： Shaohua Zhou ,  Jie Shao ,  Jonathan Dowdall ,  Adrian Barbu ,  Bogdan Georgescu ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/6257 ,  G06K2209/05 ,  G06T7/33 ,  G06T2207/10124 ,  G06T2207/10132 ,  G06T2207/30048

摘要： The present invention is directed to a method for populating a database with a set of images of an anatomical structure. The database is used to perform appearance matching in image pairs of the anatomical structure. A set of image pairs of anatomical structures is received, where each image pair is annotated with a plurality of location-sensitive regions that identify a particular aspect of the anatomical structure. Weak learners are iteratively selected and an image patch is identified. A boosting process is used to identify a strong classifier based on responses to the weak learners applied to the identified image patch for each image pair. The responses comprise a feature response and a location response associated with the image patch. Positive and negative image pairs are generated. The positive and negative image pairs are used to learn a similarity function. The learned similarity function and iteratively selected weak learners are stored in the database.

摘要翻译： 本发明涉及一种用解剖结构的一组图像填充数据库的方法。 该数据库用于在解剖结构的图像对中执行外观匹配。 接收一组解剖结构的图像对，其中每个图像对用多个识别解剖结构的特定方面的位置敏感区域注释。 迭代选择弱学习者，并识别图像补丁。 基于对应用于每个图像对的所识别的图像补丁的弱学习者的响应，使用增强过程来识别强分类器。 响应包括与图像块相关联的特征响应和位置响应。 产生正负图像对。 正负图像对用于学习相似度函数。 学习的相似度函数和迭代选择的弱学习者存储在数据库中。

公开(公告)号：US20080085044A1

公开(公告)日：2008-04-10

申请号：US11866572

申请日：2007-10-03

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

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

IPC分类号： G06K9/00

CPC分类号： G06K9/00 ,  G06K9/6256 ,  G06K9/72 ,  G06K2209/05

摘要： A method and system for regression-based object detection in medical images is disclosed. A regression function for predicting a location of an object in a medical image based on an image patch is trained using image-based boosting ridge regression (IBRR). The trained regression function is used to determine a difference vector based on an image patch of a medical image. The difference vector represents the difference between the location of the image patch and the location of a target object. The location of the target object in the medical image is predicted based on the difference vector determined by the regression function.

摘要翻译： 公开了一种用于医学图像中基于回归的物体检测的方法和系统。 使用基于图像的增强脊回归（IBRR）训练用于基于图像块预测医学图像中的对象的位置的回归函数。 训练回归函数用于基于医学图像的图像块来确定差分矢量。 差分向量表示图像块的位置与目标对象的位置之间的差异。 基于由回归函数确定的差分向量来预测目标对象在医学图像中的位置。

公开(公告)号：US20070098239A1

公开(公告)日：2007-05-03

申请号：US11466477

申请日：2006-08-23

申请人： Shaohua Zhou ,  Jie Shao ,  Dorin Comaniciu ,  Bogdan Georgescu

发明人： Shaohua Zhou ,  Jie Shao ,  Dorin Comaniciu ,  Bogdan Georgescu

IPC分类号： G06K9/00

CPC分类号： G06K9/621 ,  G06K9/00335 ,  G06K9/48 ,  G06K9/6209 ,  G06K2009/487 ,  G06K2209/05 ,  G06T7/251 ,  G06T2207/10132 ,  G06T2207/30048

摘要： A method for generating Pairwise Active Appearance Models (PAAMs) that characterize shape, appearance and motion of an object and using the PAAM to track the motion of an object is disclosed. A plurality of video streams is received. Each video stream includes a series of image frames that depict an object in motion. Each video stream includes an index of identified motion phases that are associated with a motion cycle of the object. For each video stream, a shape of the object is represented by a shape vector. An appearance of an object is represented by an appearance vector. The shape and appearance vectors associated at two consecutive motion phases are concatenated. Paired data for the concatenated shape and appearance vectors is computed. Paired data is computed for each two consecutive motion phases in the motion cycle. A shape subspace is constructed based on the computed paired data. An appearance subspace is constructed based on the computed paired data. A joint subspace is constructed using a combination of the shape subspace and appearance subspace. A PAAM is generated using the joint subspace and the PAAM is stored in a database.

摘要翻译： 公开了一种用于产生表征对象的形状，外观和运动以及使用PAAM跟踪对象的运动的成对活动外观模型（PAAM）的方法。 接收多个视频流。 每个视频流包括描绘运动对象的一系列图像帧。 每个视频流包括与对象的运动周期相关联的所识别的运动相位的索引。 对于每个视频流，对象的形状由形状向量表示。 物体的外观由外观矢量表示。 在两个连续的运动阶段相关联的形状和外观矢量被连接起来。 计算连续形状和外观向量的配对数据。 计算运动周期中每两个连续运动相位的配对数据。 基于计算的配对数据构建形状子空间。 基于计算出的配对数据构建出现子空间。 使用形状子空间和外观子空间的组合构建关节子空间。 使用联合子空间生成PAAM，并将PAAM存储在数据库中。

公开(公告)号：US20080107302A1

公开(公告)日：2008-05-08

申请号：US11872972

申请日：2007-10-16

申请人： Shaohua Zhou ,  Jingdan Zhang ,  Bogdan Georgescu ,  Dorin Comaniciu

发明人： Shaohua Zhou ,  Jingdan Zhang ,  Bogdan Georgescu ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/6256 ,  G06K9/00201 ,  G06K9/3233 ,  G06K2209/05 ,  G06T7/73 ,  G06T2207/30048

摘要： A method for detecting an object of interest in an input image includes the computer-implemented steps of: receiving an image, providing a multi-class pose classifier that identifies a plurality of pose features for estimating a pose of the object of interest, providing a plurality of cascades of serially-linked binary object feature classifiers, each cascade corresponding to different poses of the object of interest in the input image, selecting at least one of the cascades using the estimated pose, and employing the selected cascades to detect instances of the object of interest in the image.

摘要翻译： 一种用于在输入图像中检测感兴趣对象的方法包括以下计算机实现的步骤：接收图像，提供识别用于估计感兴趣对象的姿态的多个姿势特征的多类姿势分类器，提供 多个级联的串联二进制对象特征分类器，每个级联对应于输入图像中感兴趣对象的不同姿态，使用估计姿态选择级联中的至少一个，并且采用所选择的级联来检测 图像中感兴趣的对象。

公开(公告)号：US20080086053A1

公开(公告)日：2008-04-10

申请号：US11866712

申请日：2007-10-03

申请人： Shaohua Zhou ,  Jingdan Zhang ,  Bogdan Georgescu ,  Dorin Comaniciu

发明人： Shaohua Zhou ,  Jingdan Zhang ,  Bogdan Georgescu ,  Dorin Comaniciu

IPC分类号： A61B8/00

CPC分类号： A61B8/08 ,  A61B6/503

摘要： A method for estimating a configuration of an internal structure within a medical image includes detecting a location of the internal structure. Component-based identification is performed within the detected location of the internal structure to identify a plurality of components. The configuration of the internal structure is estimated based on the relative position of the identified components.

摘要翻译： 用于估计医学图像内部结构的配置的方法包括检测内部结构的位置。 在检测到的内部结构的位置内执行基于组件的识别以识别多个组件。 基于所识别的组件的相对位置来估计内部结构的配置。

公开(公告)号：US20070055153A1

公开(公告)日：2007-03-08

申请号：US11513675

申请日：2006-08-30

申请人： Constantine Simopoulos ,  Shaohua Zhou ,  Jin-hyeong Park ,  Dorin Comaniciu ,  Bogdan Georgescu

发明人： Constantine Simopoulos ,  Shaohua Zhou ,  Jin-hyeong Park ,  Dorin Comaniciu ,  Bogdan Georgescu

IPC分类号： A61B8/00

CPC分类号： A61B8/00 ,  A61B6/503 ,  A61B8/0883 ,  G06F19/00 ,  G06F19/321 ,  G16H50/20

摘要： Anatomical information is identified from a medical image and/or used for controlling a medical diagnostic imaging system, such as an ultrasound system. To identify anatomical information from a medical image, a processor applies a multi-class classifier. The anatomical information is used to set an imaging parameter of the medical imaging system. The setting or identification may be used in combination or separately.

摘要翻译： 解剖信息从医学图像识别和/或用于控制诸如超声系统的医学诊断成像系统。 为了从医学图像中识别解剖信息，处理器应用多类分类器。 解剖信息用于设置医学成像系统的成像参数。 设置或标识可以组合使用或分开使用。

公开(公告)号：US08720561B2

公开(公告)日：2014-05-13

申请号：US13085187

申请日：2011-04-12

申请人： Shaohua Zhou

发明人： Shaohua Zhou

IPC分类号： E21B33/127 ,  E21B33/13

CPC分类号： E21B33/146 ,  E21B21/103 ,  E21B2034/007

摘要： A downhole tool provided within a casing string for use in cement staging operations. The tool includes a sleeve in the tool that selectively slides downward under pressure to expose ports formed in a side wall of the tool. Also, an annulus through the tool is selectively blocked so that cement in the casing string flows radially outward through the ports and into an annulus between the tool and a wellbore. An inflatable packer is included that is integral to the body of the tool and is inflated with a fluid that is pushed into the packer as the sleeve slides downward. An optional expanding agent can be included in the packer that is a metal oxide and is activated with the addition of water.

摘要翻译： 提供在套管柱内用于水泥分段操作的井下工具。 工具包括工具中的套筒，其在压力下选择性地向下滑动以暴露形成在工具的侧壁中的端口。 此外，通过工具的环形空间被选择性地阻塞，使得套管柱中的水泥通过端口径向向外流动并进入工具和井筒之间的环形空间。 包括与工具主体成一体的充气封隔器，并且随着套筒向下滑动而被推入封隔器的流体膨胀。 任选的发泡剂可以包括在作为金属氧化物的封隔器中，并且通过加入水来活化。

公开(公告)号：US08657004B2

公开(公告)日：2014-02-25

申请号：US13069025

申请日：2011-03-22

申请人： Shaohua Zhou

发明人： Shaohua Zhou

IPC分类号： E21B33/13

CPC分类号： E21B33/146 ,  E21B33/1295 ,  E21B34/12 ,  E21B34/14

摘要： A downhole tool provided within a casing string for use in cement staging operations. The tool includes an inflatable packer that is integral to the body of the tool and ports in sides of the tool. The ports are selectively opened and closed for circulating cement from within the tool so that cement can flow between the casing string and a wellbore. The ports are actuated by sliding the casing string upward or downward within the wellbore. The packer can be pressure tested after being set to ensure its efficacy.

摘要翻译： 提供在套管柱内用于水泥分段操作的井下工具。 该工具包括一个充气式封隔器，它与工具的主体和工具侧面的端口是一体的。 选择性地打开和关闭端口用于从工具内循环水泥，使得水泥可以在套管柱和井筒之间流动。 通过在井筒内向上或向下滑动套管柱来致动端口。 封隔器经过设定以进行压力测试以确保其功效。