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1. 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。

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

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

4. 发明申请

WO2005096226A3 SYSTEMS AND METHODS PROVIDING AUTOMATED DECISION SUPPORT FOR MEDICAL IMAGING 审中-公开
标题翻译：提供医疗成像自动化决策支持的系统和方法
公开(公告)号：WO2005096226A3
公开(公告)日：2006-04-27
申请号：PCT/US2005009646
申请日：2005-03-23
申请人： SIEMENS MEDICAL SOLUTIONS , SIEMENS CORP RES INC , KRISHNAN SRIRAM , COMANICIU DORIN , XIANG SEAN ZHOU , CANNON MICHAEL G , DUTTON ALLEN
发明人： KRISHNAN SRIRAM , COMANICIU DORIN , XIANG SEAN ZHOU , CANNON MICHAEL G , DUTTON ALLEN
IPC分类号： G06T7/00
CPC分类号： G06T7/0012
摘要： Systems and methods are provided for processing a medical image to automatically identify the anatomy and view (or pose) from the medical image and automatically assess the diagnostic quality of the medical image. In one aspect a method for automated decision support for medical imaging includes obtaining image data, extracting feature data from the image data, and automatically performing anatomy identification, view identification and/or determining a diagnostic quality of the image data, using the extracted feature data.
摘要翻译：提供了系统和方法来处理医学图像以自动识别解剖结构并从医学图像中观察（或姿势）并自动评估医学图像的诊断质量。一方面，用于医学成像的自动决策支持的方法包括从所述图像数据获取图像数据，提取特征数据，以及使用所提取的特征数据自动执行解剖识别，查看识别和/或确定图像数据的诊断质量。

5. 发明申请

WO2008137089A2 GENE SIGNATURE OF EARLY HYPOXIA TO PREDICT PATIENT SURVIVAL 审中-公开
标题翻译：早期HYPOXIA的基因表达预测患者生存
公开(公告)号：WO2008137089A2
公开(公告)日：2008-11-13
申请号：PCT/US2008005704
申请日：2008-05-02
申请人： SIEMENS MEDICAL SOLUTIONS , SEIGNEURIC RENAUD G , STARMANS MAUD H W , FUNG GLENN , KRISHNAPURAM BALAJI , NUYTEN DIMITRY S A , VAN ERK ARIE , MAGAGNIN MICHAEL GASTON , ROUSCHOP KASPER M , KRISHNAN SRIRAM , RAO R BHARAT , EVELO CHRISTOFFEL THEODORUS ANTHONIUS , BEGG ADRIAN CAMPBELL , WOUTERS BRADLY G , LAMBIN PHILIPPE
发明人： SEIGNEURIC RENAUD G , STARMANS MAUD H W , FUNG GLENN , KRISHNAPURAM BALAJI , NUYTEN DIMITRY S A , VAN ERK ARIE , MAGAGNIN MICHAEL GASTON , ROUSCHOP KASPER M , KRISHNAN SRIRAM , RAO R BHARAT , EVELO CHRISTOFFEL THEODORUS ANTHONIUS , BEGG ADRIAN CAMPBELL , WOUTERS BRADLY G , LAMBIN PHILIPPE
IPC分类号： C12Q1/68
CPC分类号： C12Q1/6886 , C12Q2600/106 , C12Q2600/118
摘要： The present invention provides methods and compositions for predicting patient responses to cancer treatment using hypoxia gene signatures. These methods can comprise measuring in a biological sample from a patient the levels of gene expression of a group of the genes designated herein. The present invention also provides for microarrays that can detect expression from a group of genes.
摘要翻译：本发明提供了使用缺氧基因特征预测患者对癌症治疗的反应的方法和组合物。这些方法可以包括在来自患者的生物样品中测量本文指定的一组基因的基因表达水平。本发明还提供了可以检测一组基因的表达的微阵列。

6. 发明申请

WO2006088983A3 MISSING DATA APPROACHES IN MEDICAL DECISION SUPPORT SYSTEMS 审中-公开
标题翻译：医疗决策支持系统丢失数据处理方法
公开(公告)号：WO2006088983A3
公开(公告)日：2007-03-01
申请号：PCT/US2006005388
申请日：2006-02-16
申请人： SIEMENS MEDICAL SOLUTIONS , KRISHNAN SRIRAM , RAO R BHARAT
发明人： KRISHNAN SRIRAM , RAO R BHARAT
IPC分类号： G06F19/00
CPC分类号： G16H50/20 , G16H10/60
摘要： Missing data is addressed in a medical decision support system. The classifier applied to the patient record with missing data is obtained as a function of the available data. For example, one of a plurality of different classifiers is selected based on the features available in the patient record to be classified. The different classifiers are developed using different feature sets. The classifier developed using a feature set closest to or a sub-set of the features available in the patient record is selected for classifying the patient record. As another example, features in a training set corresponding to features available in the patient record are used to build a classifier. The classifier is applied to the patient record by inputting the available features of the patient record.
摘要翻译：缺失的数据在医疗决策支持系统中得到解决。作为可用数据的函数获得应用于具有缺失数据的病人记录的分类器。例如，基于要分类的患者记录中可用的特征来选择多个不同分类器之一。不同的分类器是使用不同的特征集开发的。选择使用最接近或者患者记录中可用特征的子集的特征集开发的分类器用于对患者记录进行分类。作为另一示例，使用对应于患者记录中可用特征的训练集中的特征来建立分类器。通过输入患者记录的可用特征将分类器应用于患者记录。

7. 发明申请

WO2006094032A3 GUIDING DIFFERENTIAL DIAGNOSIS THROUGH INFORMATION MAXIMIZATION 审中-公开
标题翻译：通过信息最大化引导差异诊断
公开(公告)号：WO2006094032A3
公开(公告)日：2006-11-09
申请号：PCT/US2006007222
申请日：2006-03-01
申请人： SIEMENS MEDICAL SOLUTIONS , ROSALES ROMER E , MUELLER MARIANNE LARISSA , KRISHNAN SRIRAM , RAO R BHARAT
发明人： ROSALES ROMER E , MUELLER MARIANNE LARISSA , KRISHNAN SRIRAM , RAO R BHARAT
IPC分类号： G06F19/00
CPC分类号： G06F19/34 , G06F19/3481 , G06Q50/22 , G06Q50/24 , G16H15/00 , G16H50/20 , G16H50/70
摘要： A system (100) and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information (102) as well as clinical records from other patients (103) can reduce the uncertainty (210) in both diagnosis and treatment options. The information maximization (310) may consider additional data such as cost (408), risk and comfort (404) in making a proper medical decision (316).
摘要翻译：公开了用于基于信息最大化的诊断和治疗决定的系统（100）和方法。利用患者信息（102）以及其他患者的临床记录（103）可以减少诊断和治疗方案中的不确定性（210）。信息最大化（310）可以在作出适当的医疗决定（316）时考虑诸如成本（408），风险和舒适（404）之类的额外数据。

8. 发明申请

WO2006125145A8 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：WO2006125145A8
公开(公告)日：2008-05-29
申请号：PCT/US2006019418
申请日：2006-05-18
申请人： SIEMENS MEDICAL SOLUTIONS , RAO R BHARAT , KRISHNAN SRIRAM , LANDI WILLIAM A , CASE RANDALL
发明人： RAO R BHARAT , KRISHNAN SRIRAM , LANDI WILLIAM A , CASE RANDALL
IPC分类号： G06F19/00
CPC分类号： G06F19/321 , G06Q50/24 , G16H50/70
摘要： Improvements in mining information from patient records and/or use of such mined information are provided. A scheduled appointment is identified. In response, the patient record is mined to identify any possible lack of adherence. A form requiring authorization and including a clinical action or prescription is generated to address, at least in part, the lack of adherence. Contact with a patient is initiated by a processor, at least in part, in response to a lack of adherence. A request for documentation 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.

9. 发明申请

WO2006083569A9 CHARACTERIZATION OF CARDIAC MOTION WITH SPATIAL RELATIONSHIP 审中-公开
标题翻译：具有空间关系的心脏运动特征
公开(公告)号：WO2006083569A9
公开(公告)日：2006-10-19
申请号：PCT/US2006001931
申请日：2006-01-18
申请人： SIEMENS MEDICAL SOLUTIONS , QAZI MALEEHA , KAMASAK MUSTAFA , DUNDAR MURAT , FUNG GLENN , KRISHNAN SRIRAM , RAO R BHARAT
发明人： QAZI MALEEHA , KAMASAK MUSTAFA , DUNDAR MURAT , FUNG GLENN , KRISHNAN SRIRAM , RAO R BHARAT
IPC分类号： A61B5/00
CPC分类号： G06T7/0012 , A61B5/00 , A61B5/055 , A61B5/7267 , A61B6/03 , A61B6/5217 , A61B8/08 , G06F19/321 , G06K9/00335 , G06K2209/051 , G06T7/20 , G06T2207/30048 , G16H50/20 , G16H50/50
摘要： Cardiac motion is automatically characterized (28) based on spatial relationship to health. A classifier is trained for the characterization of cardiac motion. Regional wall motion abnormality assessment (28) may be improved by combining information from neighboring segments (S). The structure or relationship between different segments (S) and associated probabilities of different spatial locations being abnormal given another segment (S) being abnormal are used for classification.
摘要翻译：心脏运动根据与健康的空间关系自动表征（28）。训练分类器以表征心脏运动。区域性室壁运动异常评估（28）可通过结合来自邻近区段（S）的信息来改善。使用另一个片段（S）异常的不同片段（S）之间的结构或关系以及不同空间位置的相关概率被异常用于分类。

10. 发明申请

WO2006125097A8 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：WO2006125097A8
公开(公告)日：2007-04-26
申请号：PCT/US2006019272
申请日：2006-05-18
申请人： SIEMENS MEDICAL SOLUTIONS , RAO R BHARAT , KRISHNAN SRIRAM , LANDI WILLIAM A
发明人： RAO R BHARAT , KRISHNAN SRIRAM , LANDI WILLIAM A
IPC分类号： G06F19/00
CPC分类号： G06Q50/24 , G06F19/321 , G16H50/70
摘要： Improvements in mining information from patient records and/or use of such mined information are provided. The identity of the patient is used to link to patient records at different institutions for mining. The user controls one or more thresholds for mining and/or inferring. By providing a user interface that allows selection of a portion of the statistical summary, data supporting the statistics may be output. To assist in understanding the knowledge base used for mining or inferring, a visual representation is output. The mining may be used for diagnosis related groupings.

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