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1. 发明申请

WO2006029037A3 SYSTEM AND METHOD FOR TRACKING ANATOMICAL STRUCTURES IN THREE DIMENSIONAL IMAGES 审中-公开
标题翻译：用于跟踪三维图像中的解剖结构的系统和方法
公开(公告)号：WO2006029037A3
公开(公告)日：2006-08-17
申请号：PCT/US2005031444
申请日：2005-09-02
申请人： SIEMENS MEDICAL SOLUTIONS , XIAO JING , GEORGESCU BOGDAN , ZHOU XIANG SEAN , COMANICIU DORIN
发明人： XIAO JING , GEORGESCU BOGDAN , ZHOU XIANG SEAN , COMANICIU DORIN
IPC分类号： G06T7/20
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 strucutre is estimated.
摘要翻译：公开了一种用于定义和追踪三维（3D）图像中的候选解剖结构壁的可变形形状的系统和方法。候选解剖结构的形状由多个标记的3D地标点表示。定义了图像帧中至少一个可变形形状的3D地标点。在检测到的3D地标点周围定义3D立方体。对于与解剖结构相关联的每个界标点，在相对于参考解剖结构的后续帧中估计其位置和位置不确定性矩阵。生成形状模型以表示随后图像帧中的可变形形状的动态。形状模型包括来自代表性解剖结构的3D图像的训练数据集的统计信息。形状模型与候选解剖结构的可变形形状对齐。形状模型与可变形形状融合。估计候选解剖结构的当前形状。

2. 发明申请

WO2004081875A3 SYSTEM AND METHOD FOR TRACKING A GLOBAL SHAPE OF AN OBJECT IN MOTION 审中-公开
标题翻译：跟踪运动对象的全球形状的系统和方法
公开(公告)号：WO2004081875A3
公开(公告)日：2005-10-06
申请号：PCT/US2004007068
申请日：2004-03-08
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , COMANICIU DORIN , KRISHNAN SRIRAM , ZHOU XIANG SEAN , GEORGESCU BOGDAN
发明人： COMANICIU DORIN , KRISHNAN SRIRAM , ZHOU XIANG SEAN , GEORGESCU BOGDAN
IPC分类号： G06K9/00 , G06T5/00 , G06T7/20
CPC分类号： G06K9/6247 , G06K9/3216 , G06K9/629 , G06K2209/051 , G06T7/215 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A system and method for tracking a global shape of an object in motion is disclosed. One or more control points along an initial contour of the global shape are defined. Each of the one or more control points is tracked as the object is in motion. Uncertainty of a location of a control point in motion is represented using a number of techniques. The uncertainty to constrain the global shape is exploited using a prior shape model. In an alternative embodiment, multiple appearance models are built for each control point and the motion vectors produced by each model are combined in order to track the shape of the object. The movement of the shape of the object can be visually tracked using a display and color vectors.
摘要翻译：公开了一种跟踪运动对象的全局形状的系统和方法。定义沿着全局形状初始轮廓的一个或多个控制点。一个或多个控制点中的每一个在物体运动时被跟踪。使用许多技术来表示控制点在运动中的位置的不确定性。使用先前的形状模型来利用限制全局形状的不确定性。在替代实施例中，为每个控制点构建多个外观模型，并且组合由每个模型产生的运动矢量以跟踪对象的形状。可以使用显示和颜色向量来可视地跟踪对象的形状的移动。

3. 发明申请

WO2005052860A3 SYSTEM AND METHOD FOR DETECTING AND MATCHING ANATOMICAL STRUCTURES USING APPEARANCE AND SHAPE 审中-公开
标题翻译：使用外观和形状检测和匹配解剖结构的系统和方法
公开(公告)号：WO2005052860A3
公开(公告)日：2005-09-22
申请号：PCT/US2004038837
申请日：2004-11-19
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , ZHOU XIANG SEAN , GEORGESCU BOGDAN , COMANICIU DORIN , RAO R BHARAT , GUPTA ALOK
发明人： ZHOU XIANG SEAN , GEORGESCU BOGDAN , COMANICIU DORIN , RAO R BHARAT , GUPTA ALOK
IPC分类号： G06K9/62 , G06K9/64 , G06T7/00 , G06F19/00
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。使用图像的训练集合，其中对图像中的对象形状或结构进行注释。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。在训练集上训练的分类算法用于检测其位置处的结构。该结构与训练集中的对应部分相匹配，可以提供关于结构形状和外观的详细信息

4. 发明申请

WO2005034039A3 SYSTEM AND METHOD FOR LOCAL DEFORMABLE MOTION ANALYSIS 审中-公开
标题翻译：用于局部可变形运动分析的系统和方法
公开(公告)号：WO2005034039A3
公开(公告)日：2005-07-21
申请号：PCT/US2004032724
申请日：2004-10-04
申请人： SIEMENS CORP RES INC , GEORGESCU BOGDAN , ZHOU XIANG SEAN , COMANICIU DORIN , KRISHNAN SRIRAM
发明人： GEORGESCU BOGDAN , ZHOU XIANG SEAN , COMANICIU DORIN , KRISHNAN SRIRAM
IPC分类号： G06K9/00 , G06T7/20
CPC分类号： G06T7/20 , G06T7/0016 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： [0061] A system and method for local deformable motion analysis and for accurately tracking motion of an object isolating local motion of an object from global motion of an object is disclosed. The object is viewed in an image sequence and image regions are sampled to identify object image regions and background image regions. The motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion. Motion from multiple background image regions are combined to measure the global motion in that image frame. The measured global motion in the object image regions are compensated to measure local motion of the object and the local motion of the object is tracked. A system and method for accurately measuring the local deformable motion of an object as the relative motion between two control point sets is disclosed. The point sets are defined as the inner contour and the outer contour of an object. The motion of the control point sets is estimated and the relative motion is used to characterize the local deformation and local motion of the object
摘要翻译：公开了一种用于局部可变形运动分析和准确跟踪物体的运动的系统和方法，该物体隔离物体的局部运动与物体的全局运动。该对象在图像序列中被查看并且图像区域被采样以识别对象图像区域和背景图像区域。估计所识别的背景图像区域中的至少一个的运动以识别受全局运动影响的那些背景图像区域。来自多个背景图像区域的运动被组合以测量该图像帧中的全局运动。对物体图像区域中的测量的全局运动进行补偿以测量物体的局部运动，并跟踪物体的局部运动。公开了一种用于精确测量物体的局部可变形运动的系统和方法，作为两个控制点集之间的相对运动。点集被定义为对象的内部轮廓和外部轮廓。估计控制点集的运动，并使用相对运动来表征物体的局部变形和局部运动

5. 发明申请

WO2007019504A2 SYSTEM AND METHOD FOR INTEGRATING HETEROGENEOUS BIOMEDICAL INFORMATION 审中-公开
标题翻译：用于整合异质生物医学信息的系统和方法
公开(公告)号：WO2007019504A2
公开(公告)日：2007-02-15
申请号：PCT/US2006030893
申请日：2006-08-07
申请人： SIEMENS MEDICAL SOLUTIONS , ZHOU XIANG SEAN , COMANICIU DORIN , GUPTA ALOK , TU ZHUOWEN , FASULO DANIEL , WANG LU-YONG , LIU PEIYA , MUKHERJEE SAIKAT , CHAKRABORTY AMIT
发明人： ZHOU XIANG SEAN , COMANICIU DORIN , GUPTA ALOK , TU ZHUOWEN , FASULO DANIEL , WANG LU-YONG , LIU PEIYA , MUKHERJEE SAIKAT , CHAKRABORTY AMIT
IPC分类号： G06F19/00
CPC分类号： G16H50/20 , G16H10/60 , G16H50/50 , G16H50/70
摘要： A system and method for using heterogeneous data from multiple healthcare information sources in a medical decision support system is disclosed. Each healthcare information system stores medical data using a different local schema. The medical decision support system provides responses to user queries. A query is received from a user that is generated in a standardized global schema. The query includes information from medical ontologies. Database queries are generated from the user queries that use the medical ontologies to generate constraints in the queries. The medical ontologies are also used to infer database queries. The generated query is translated into multiple queries for the multiple healthcare systems wherein each query is in the local schema of the healthcare information system that is being queried. Each database query is transmitted to one of the healthcare information systems based on the local schema of the particular query. Data is collected from each of the queried healthcare information system and analyzed. A query response is formulated for the user
摘要翻译：公开了一种在医疗决策支持系统中使用来自多个保健信息源的异构数据的系统和方法。每个保健信息系统使用不同的本地模式存储医疗数据。医疗决策支持系统提供对用户查询的响应。从标准化全局模式中生成的用户接收到查询。该查询包括医学本体的信息。数据库查询是从使用医学本体的用户查询生成查询中的约束生成的。医学本体也用于推断数据库查询。所生成的查询被转换成多个医疗保健系统的多个查询，其中每个查询在被查询的医疗保健信息系统的本地模式中。基于特定查询的本地模式，将每个数据库查询发送到医疗保健信息系统之一。从每个被查询的医疗信息系统收集数据并进行分析。为用户制定了查询响应

6. 发明申请

WO2006029227A3 SYSTEM AND METHOD FOR ANATOMICAL STRUCTURE PARSING AND DETECTION 审中-公开
标题翻译：用于解剖结构分析和检测的系统和方法
公开(公告)号：WO2006029227A3
公开(公告)日：2006-06-01
申请号：PCT/US2005031912
申请日：2005-09-06
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , TU ZHUOWEN , ZHOU XIANG SEAN , COMANICIU DORIN , SCHULTZ CHRISTIAN P
发明人： TU ZHUOWEN , ZHOU XIANG SEAN , COMANICIU DORIN , SCHULTZ CHRISTIAN P
IPC分类号： G06T5/00
CPC分类号： G06K9/6256 , G06T7/11 , G06T7/143 , G06T2207/10072 , G06T2207/30004
摘要： A method for segmenting a digitized image includes providing a digitized image comprising a plurality of intensities defined on a lattice of pixels, initializing (22) a Bayesian prior probability and likelihood function for segmenting said image, decomposing (23) said image into a union of a plurality of subspaces wherein each subspace is a product of k-partitions, and distributing a plurality Bayesian posterior probability functions over said subspaces, updating (25) said Bayesian posterior probability functions via a data-driven Markov-chain, and selecting (27) a subset of said Bayesian posterior probability functions that approximate a true Bayesian posterior probability function.
摘要翻译：一种用于分割数字化图像的方法包括提供包括在像素的格子上定义的多个强度的数字化图像，初始化（22）用于分割所述图像的贝叶斯先验概率和似然函数，将所述图像分解为（23）多个子空间，其中每个子空间是k分区的乘积，并且在所述子空间上分布多个贝叶斯后验概率函数，经由数据驱动的马尔科夫链更新（25）所述贝叶斯后验概率函数，并且选择（27）所述贝叶斯后验概率函数的子集近似真实的贝叶斯后验概率函数。

7. 发明申请

WO2005081168A3 SYSTEMS AND METHODS FOR AUTOMATED DIAGNOSIS AND DECISION SUPPORT FOR HEART RELATED DISEASES AND CONDITIONS 审中-公开
标题翻译：自动诊断和心理支持的系统与方法相关疾病和病症
公开(公告)号：WO2005081168A3
公开(公告)日：2005-12-01
申请号：PCT/US2004040757
申请日：2004-12-06
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS CORP RES INC , KRISHNAN SRIRAM , GUPTA ALOK , RAO R BHARAT , COMANICIU DORIN , ZHOU XIANG SEAN
发明人： KRISHNAN SRIRAM , GUPTA ALOK , RAO R BHARAT , COMANICIU DORIN , ZHOU XIANG SEAN
IPC分类号： A61B5/05 , G06F17/00 , G06F19/00
CPC分类号： G16H50/20
摘要： CAD (computer-aided diagnosis) systems and applications for cardiac imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated assessment of regional myocardial function through wall motion analysis, automated diagnosis of heart diseases and conditions such as cardiomyopathy, coronary artery disease and other heart-related medical conditions, and other automated decision support functions. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to "learn" to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.
摘要翻译：提供了用于心脏成像的CAD（计算机辅助诊断）系统和应用，其实现了从受试患者的患者信息（包括图像数据和/或非图像数据）的集合中自动提取和分析特征的方法，以提供对医师工作流程的各个方面的决策支持，包括例如通过壁运动分析自动评估区域心肌功能，心脏疾病的自动诊断和诸如心肌病，冠状动脉疾病和其他与心脏相关的医疗状况等条件，以及其他自动化决策支持功能。 CAD系统实施机器学习技术，其使用从一个或多个相关临床领域的标记的患者病例的数据库获得（学习）的一组训练数据和/或对这些数据的专家解释，使得CAD系统能够“学习” 分析患者数据，进行适当的诊断评估和决策，以协助医师的工作流程。

8. 发明申请

WO2006044242A2 METHOD FOR DETECTING POLYPS IN A THREE DIMENSIONAL IMAGE VOLUME 审中-公开
标题翻译：在三维图像体积中检测多边形的方法
公开(公告)号：WO2006044242A2
公开(公告)日：2006-04-27
申请号：PCT/US2005036123
申请日：2005-10-07
申请人： SIEMENS CORP RES INC , SIEMENS MEDICAL SOLUTIONS , TU ZHUOWEN , ZHOU XIANG SEAN , BARBU ADRIAN , BOGONI LUCA , COMANICIU DORIN
发明人： TU ZHUOWEN , ZHOU XIANG SEAN , BARBU ADRIAN , BOGONI LUCA , COMANICIU DORIN
IPC分类号： G06K9/62
CPC分类号： G06K9/4614 , G06K9/6206 , G06K9/6214 , G06K9/6257 , G06K2209/053 , G06T7/0012 , G06T2207/10072 , G06T2207/30032
摘要： A method for detecting target objects in a three dimensional (3D) image volume of an anatomical structure is disclosed. A set of candidate locations in the image volume are obtained. For each candidate location, sub-volumes of at least two different scales are cropped out. Each sub-volume comprises a plurality of voxels. For each of the sub-volumes, each sub-volume is rotated in at least two different orientations. A shape classifier is applied to each sub-volume. If the voxels in the sub-volume pass the shape classifier, a gradient direction is computed for the voxels. If the gradient direction for the voxels is one of a predefined orientation, a probability classifier is applied to the voxels. A probability measure computed by the probability classifier as a confidence measure is used for the sub-volume. If the confidence measure is above a predetermined threshold value, the sub-volume is determined to contain the target object
摘要翻译：公开了一种用于检测解剖结构的三维（3D）图像体积中的目标对象的方法。获得图像体积中的一组候选位置。对于每个候选位置，至少有两个不同比例的子卷被裁剪掉。每个子体积包括多个体素。对于每个子体积，每个子体积至少在两个不同的方向旋转。形状分类器应用于每个子卷。如果子体积中的体素通过形状分类器，则为体素计算梯度方向。如果体素的梯度方向是预定义方向之一，则将概率分类器应用于体素。由概率分类器计算的概率度量作为置信度量度用于子量。如果置信度量高于预定阈值，则确定子量包含目标对象

9. 发明申请

WO2005024651A3 A SYSTEM AND METHOD FOR SEQUENTIAL KERNEL DENSITY APPROXIMATION THROUGH MODE PROPAGATION 审中-公开
标题翻译：通过模式传播的用于顺序密度密度近似的系统和方法
公开(公告)号：WO2005024651A3
公开(公告)日：2006-09-08
申请号：PCT/US2004029316
申请日：2004-09-09
申请人： SIEMENS CORP RES INC , HAN BOHYUNG , COMANICIU DORIN , ZHU YING , ZHOU XIANG SEAN
发明人： HAN BOHYUNG , COMANICIU DORIN , ZHU YING , ZHOU XIANG SEAN
IPC分类号： G06F17/18 , G06T5/00 , G06T7/40
CPC分类号： G06K9/6226 , G06F17/18 , G06T7/44
摘要： A system and method for sequential kernel density approximation uses mode propagation to determine mode locations by the mean-shift method and reduce the generated modes. Hessians are calculated corresponding to the mode locations to determine the covariance. Density is approximated to update the density function depending on whether the Hessian is a negative indefinite.
摘要翻译：用于顺序核密度近似的系统和方法使用模式传播来通过平均移位方法确定模式位置并减少生成的模式。对应于模式位置计算Hessians以确定协方差。近似密度来更新密度函数，取决于黑森西是否是负不确定的。

10. 发明申请

WO2006009914A2 SYSTEM AND METHOD FOR 3D CONTOUR TRACKING OF ANATOMICAL STRUCTURES 审中-公开
标题翻译：用于三维轮廓跟踪的解剖结构的系统和方法
公开(公告)号：WO2006009914A2
公开(公告)日：2006-01-26
申请号：PCT/US2005021601
申请日：2005-06-17
申请人： SIEMENS CORP RES INC , ZHOU XIANG SEAN , COMANICIU DORIN , BOGONI LUCA
发明人： ZHOU XIANG SEAN , COMANICIU DORIN , BOGONI LUCA
IPC分类号： G06T7/00 , A61B6/00
CPC分类号： G06K9/3216 , G06K9/6209 , G06K2209/051 , G06T7/11 , G06T7/12 , G06T2207/10072 , G06T2207/20081 , G06T2207/30028
摘要： A method for three-dimensional contour tracking includes building (50) a plurality of shape models, building (50) a plurality of appearance models, training (51) a learning/classification algorithm using said shape models and appearance models, localizing (53) a contour using the said learning/classification algorithm about an object in a digitized image, and tracking (54) said contour along said object in 3D incorporating said learning/classification algorithm.
摘要翻译：用于三维轮廓跟踪的方法包括：构建（50）多个形状模型，构建（50）多个外观模型，使用所述形状模型和外观模型训练（51）学习/分类算法，定位（53）使用关于数字化图像中的对象的所述学习/分类算法的轮廓，以及以3D结合所述学习/分类算法来跟踪（54）沿着所述对象的所述轮廓。

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