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1. 发明申请

WO2005083634A1 METHOD AND SYSTEM FOR MULTI-MODAL COMPONENT-BASED TRACKING OF AN OBJECT USING ROBUST INFORMATION FUSION 审中-公开
标题翻译：使用稳健信息融合方法进行多模态组件跟踪的方法和系统
公开(公告)号：WO2005083634A1
公开(公告)日：2005-09-09
申请号：PCT/US2005/005248
申请日：2005-02-18
申请人： SIEMENS CORPORATE RESEARCH, INC. , GEORGESCU, Bogdan , ZHOU, Xiang Sean , COMANICIU, Dorin , RAO, R. Bharat
发明人： GEORGESCU, Bogdan , ZHOU, Xiang Sean , COMANICIU, Dorin , RAO, R. Bharat
IPC分类号： G06T7/20
CPC分类号： G06K9/3216 , G06K9/6206 , G06T7/215 , G06T7/269
摘要： [0062] 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：公开了一种用于跟踪对象的系统和方法。接收包括多个图像帧的视频序列。保持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。

2. 发明申请

WO2005052860A2 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：WO2005052860A2
公开(公告)日：2005-06-09
申请号：PCT/US2004/038837
申请日：2004-11-19
申请人： SIEMENS CORPORATE RESEARCH, INC. , SIEMENS MEDICAL SOLUTIONS USA, INC. , 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： G06T7/00
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，其中对象形状或结构在图像中被注释。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。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

3. 发明申请

WO2005081168A2 SYSTEMS AND METHODS FOR AUTOMATED DIAGNOSIS AND DECISION SUPPORT FOR HEART RELATED DISEASES AND CONDITIONS 审中-公开
标题翻译：自动诊断和决策支持心脏相关疾病和病症的系统和方法
公开(公告)号：WO2005081168A2
公开(公告)日：2005-09-01
申请号：PCT/US2004/040757
申请日：2004-12-06
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , SIEMENS CORPORATE RESEARCH, 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： G06F19/00
CPC分类号： G16H50/20 , G06F19/00
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，其实现了从患者信息集合（包括图像数据和/或非图像数据）中自动提取和分析特征的方法），为医生工作流程的各个方面提供决策支持，包括例如通过壁运动分析自动评估局部心肌功能，自动诊断心脏疾病和病症，如心肌病，冠状动脉疾病和其他心脏病，相关的医疗状况以及其他自动决策支持功能。 CAD系统实施机器学习技术，该技术使用从一个或多个相关临床领域中的标记患者病例的数据库获得（学习）的一组训练数据和/或这种数据的专家解释，以使得CAD系统能够“学习” ; 分析患者数据并做出适当的诊断评估和辅助医生工作流程的决定。

4. 发明申请

WO2006052681A1 METHOD OF DATABASE-GUIDED SEGMENTATION OF ANATOMICAL STRUCTURES HAVING COMPLEX APPEARANCES 审中-公开
标题翻译：数据库指导性分类具有复杂外观的解剖结构的方法
公开(公告)号：WO2006052681A1
公开(公告)日：2006-05-18
申请号：PCT/US2005/039838
申请日：2005-11-03
申请人： SIEMENS CORPORATE RESEARCH, INC. , SIEMENS MEDICAL SOLUTIONS USA, INC. , GEORGESCU, Bogdan , ZHOU, Xiang , COMANICIU, Dorin , RAO, R. Bharat , GUPTA, Alok
发明人： GEORGESCU, Bogdan , ZHOU, Xiang , COMANICIU, Dorin , RAO, R. Bharat , GUPTA, Alok
IPC分类号： G06K9/62 , G06T7/00
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。

5. 发明申请

WO2006115567A1 THREE-DIMENSIONAL CARDIAC BORDER DELINEATION IN MEDICAL IMAGING 审中-公开
标题翻译：医学成像中的三维心脏边界治疗
公开(公告)号：WO2006115567A1
公开(公告)日：2006-11-02
申请号：PCT/US2006/004600
申请日：2006-02-10
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , KRISHNAN, Sriram , COMANICIU, Dorin , ZHOU, Xiang , GEORGESCU, Bogdan , HOULE, Helene , RAO, R. Bharat
发明人： KRISHNAN, Sriram , COMANICIU, Dorin , ZHOU, Xiang , GEORGESCU, Bogdan , HOULE, Helene , RAO, R. Bharat
IPC分类号： A61B8/08
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 (40) , such as identifying a two-dimensional view as an apical four-chamber view. A three-dimensional border is tetected (46) 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。视图被标记为（40），例如将二维视图识别为顶端四室视图。作为视图标签的函数，一个三维边界被截断（46）。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。

6. 发明申请

WO2006125145A2 PATIENT DATA MINING IMPROVEMENTS 审中-公开
标题翻译：患者数据挖掘改进
公开(公告)号：WO2006125145A2
公开(公告)日：2006-11-23
申请号：PCT/US2006/019418
申请日：2006-05-18
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , RAO, R. Bharat , KRISHNAN, Sriram , LANDI, William A. , CASE, Randall
发明人： RAO, R. Bharat , KRISHNAN, Sriram , LANDI, William A. , CASE, Randall
CPC分类号： G06F19/321 , G06F19/00 , G06Q50/24 , G16H50/70
摘要： Improvements in mining information (402) from patient records and/or use (404) of such mined information are provided. A scheduled appointment (406) is identified. In response, the patient record is mined (402) to identify any possible lack of adherence. A form (408) requiring authorization and including a clinical action or prescription is generated to address, at least in part, the lack of adherence. Contact (410) with a patient is initiated by a processor (102), at least in part, in response to a lack of adherence. A request for documentation (412) is generated in response to mining indicating an inadequate probability of adherence to a guideline. During real-time, additional information to be obtained which may alter a probability is suggested.
摘要翻译：提供了来自患者记录和/或使用（404）这种开采信息的挖掘信息（402）的改进。确定了预定的约会（406）。作为回应，患者记录被开采（402）以识别任何可能的不遵守。产生要求授权并包括临床行为或处方的表格（408），至少部分地解决缺乏遵守性。与患者的接触（410）由处理器（102）发起，至少部分地响应于缺乏依从性。响应于挖掘而产生文档请求（412），表明遵守准则的概率不足。建议实时更新可能会改变概率的信息。

7. 发明申请

WO2006047532A1 PROBABILISTIC MODEL FOR RECORD LINKAGE 审中-公开
标题翻译：用于记录链接的概率模型
公开(公告)号：WO2006047532A1
公开(公告)日：2006-05-04
申请号：PCT/US2005/038417
申请日：2005-10-24
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , GIANG, Phan H. , SANDILYA, Sathyakama , LANDI, William A. , RAO, R. Bharat
发明人： GIANG, Phan H. , SANDILYA, Sathyakama , LANDI, William A. , RAO, R. Bharat
IPC分类号： G06F17/30
CPC分类号： G06F17/30687
摘要： A method for probabilistic record linkage includes comparing, for a pair of records, a pair of values for each field of the records (401), determining a probability of an attribute status from a comparison of field values (402), entering the probability of the attribute status into a Bayesian net (403), and determining a probability of a scenario (404).
摘要翻译：一种用于概率记录连接的方法包括：对于一对记录，比较记录（401）的每个场的一对值，从场值（402）的比较确定属性状态的概率，输入将属性状态转换成贝叶斯网络（403），以及确定场景的概率（404）。

8. 发明申请

WO2005093609A1 OPTIMIZING DATABASE ACCESS FOR RECORD LINKAGE BY TILING THE SPACE OF RECORD PAIRS 审中-公开
标题翻译：通过倾斜记录对的空间来优化记录数据库访问
公开(公告)号：WO2005093609A1
公开(公告)日：2005-10-06
申请号：PCT/US2005/006766
申请日：2005-03-02
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , GIANG, Phan H. , SANDILYA, Sathyakama , LANDI, William A. , RAO, R. Bharat
发明人： GIANG, Phan H. , SANDILYA, Sathyakama , LANDI, William A. , RAO, R. Bharat
IPC分类号： G06F17/30
CPC分类号： G06F17/30303 , Y10S707/99931 , Y10S707/99932
摘要： A system and method for optimizing database access for record linkage by tiling the space of record pairs are provided, the system including a processor, a segmentation and pairing unit in signal communication with the processor for segmenting database data into data segments and pairing the data segments into data quadrants, and a duplicate detection unit in signal communication with the processor for detecting duplicates for each quadrant; and the method including receiving database data, segmenting the database data into data segments, pairing the data segments into data quadrants, and detecting duplicates for each quadrant
摘要翻译：提供了一种用于通过平铺记录对的空间来优化用于记录链接的数据库访问的系统和方法，所述系统包括处理器，与处理器进行信号通信的分段和配对单元，用于将数据库数据分割成数据段并将数据段以及与处理器进行信号通信的重复检测单元，用于检测每个象限的重复; 并且该方法包括接收数据库数据，将数据库数据分段成数据段，将数据段配对成数据象限，并且检测每个象限的重复

9. 发明申请

WO2005078638A2 A SYSTEM AND METHOD FOR A SPARSE KERNEL EXPANSION FOR A BAYES CLASSIFIER 审中-公开
标题翻译：一种用于贝叶斯分类器的稀疏核展开的系统和方法
公开(公告)号：WO2005078638A2
公开(公告)日：2005-08-25
申请号：PCT/US2005/003806
申请日：2005-02-04
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , DUNDAR, Murat , FUNG, Glenn , BI, Jinbo , RAO, R. Bharat
发明人： DUNDAR, Murat , FUNG, Glenn , BI, Jinbo , RAO, R. Bharat
IPC分类号： G06K9/62
CPC分类号： G06K9/6256
摘要： A method and device having instructions for analyzing input data-space by learning classifiers include choosing a candidate subset from a predetermined training data-set that is used to analyze the input data-space. Candidates are temporarily added from the candidate subset to an expansion set to generate a new kernel space for the input data-space by predetermined repeated evaluations of leave-one-out errors for the candidates added to the expansion set. This is followed by removing the candidates temporarily added to the expansion set after the leave-one-out error evaluations are performed, and selecting the candidates to be permanently added to the expansion set based on the leave-one-out errors of the candidates temporarily added to the expansion set to determine the one or more classifiers
摘要翻译：具有用于通过学习分类器来分析输入数据空间的指令的方法和设备包括从用于分析输入数据空间的预定训练数据集中选择候选子集。从候选子集临时将候选者添加到扩展集以通过对添加到扩展集的候选者的预留重复评估来为输入数据空间生成新的内核空间。之后，在执行留一错误评估之后，删除临时添加到扩展集的候选项，并基于候选项的临时一错误选择要永久添加到扩展集的候选项添加到扩展集以确定一个或多个分类器

10. 发明申请

WO2005078631A1 HIERARCHICAL MODELING IN MEDICAL ABNORMALITY DETECTION 审中-公开
标题翻译：医学异常检测中的分层建模
公开(公告)号：WO2005078631A1
公开(公告)日：2005-08-25
申请号：PCT/US2005/004188
申请日：2005-02-09
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , KRISHNAN, Sriram , BI, Jinbo , RAO, R. Bharat
发明人： KRISHNAN, Sriram , BI, Jinbo , RAO, R. Bharat
IPC分类号： G06F19/00
CPC分类号： G16H50/20 , G06F19/00 , G16H50/50
摘要： Hierarchal modeling is used to distinguish one state (26, 28, 32, 34, 38, 40, 44, 46) or class from three or more classes. In a first stage, a normal (26) or other class is distinguished from a diseased (28) or other groups of classes. If the results of the first stage classification indicate diseased (28) or data within the groups of different classes, a subsequent stage of classification is performed. In a subsequent stage of classification, the data is classified to distinguish one or more other classes (32, 34, 38, 40, 44, 46) from the remaining classes. Using two or more stages, medical information is classified by eliminating one or more possible classes in each stage to finally identify a particular class (26, 28, 32, 34, 38, 40, 44, 46) most appropriate or probable for the data.
摘要翻译：分层建模用于将一个状态（26,28,32,34,38,40,44,46）或类与三个或更多个类别区分开。在第一阶段，正常（26）或其他类别与患病（28）或其他类别的组不同。如果第一阶段分类的结果表示患病（28）或不同类别的组内的数据，则进行后续分类阶段。在分类的后续阶段，数据被分类以区分一个或多个其他类别（32,34,38,40,44,46）与其余类别。使用两个或更多个阶段，通过消除每个阶段中的一个或多个可能的类别来分类医学信息，以最终确定最合适或可能的数据的特定类别（26,28,34,34,38,40,44,46）。

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