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1. 发明申请

US20050059876A1 Systems and methods for providing automated regional myocardial assessment for cardiac imaging 有权
标题翻译：为心脏成像提供自动区域心肌评估的系统和方法
公开(公告)号：US20050059876A1
公开(公告)日：2005-03-17
申请号：US10876803
申请日：2004-06-25
申请人： Sriram Krishnan , R. Rao , Richard Bennett
发明人： Sriram Krishnan , R. Rao , Richard Bennett
IPC分类号： A61B5/05 , A61B8/00 , G06T7/00
CPC分类号： G06T7/0012 , A61B6/507 , G06F19/00 , G06T2207/30048
摘要： Systems and methods are provided for automated assessment of regional myocardial function using wall motion analysis methods that analyze various features/parameters of patient information (image data and non-image data) obtained from medical records of a patient. For example, a method for providing automatic diagnostic support for cardiac imaging generally comprises obtaining image data of a heart of a patient, obtaining features from the image data of the heart, which are related to motion of the myocardium of the heart, and automatically assessing regional myocardial function of one or more regions of a myocardial wall using the obtained features.
摘要翻译：提供了系统和方法，用于使用分析从患者的病历获得的患者信息（图像数据和非图像数据）的各种特征/参数的壁运动分析方法来自动评估区域心肌功能。例如，提供用于心脏成像的自动诊断支持的方法通常包括获得患者心脏的图像数据，从心脏的图像数据获得与心脏心肌的运动相关的特征，并自动评估使用获得的特征，心肌壁的一个或多个区域的区域心肌功能。

2. 发明申请

US20070011121A1 System and method for learning rankings via convex hull separation 审中-公开
公开(公告)号：US20070011121A1
公开(公告)日：2007-01-11
申请号：US11444606
申请日：2006-06-01
申请人： Jinbo Bi , Glenn Fung , Sriram Krishnan , Balaji Krishnapuram , R. Rao , Romer Rosales
发明人： Jinbo Bi , Glenn Fung , Sriram Krishnan , Balaji Krishnapuram , R. Rao , Romer Rosales
IPC分类号： G06F15/18
CPC分类号： G06K9/6269
摘要： A method for finding a ranking function ƒ that classifies feature points in an n-dimensional space includes providing a plurality of feature points xk derived from tissue sample regions in a digital medical image, providing training data A comprising training samples Aj where A = ⋃ j = 1 S ⁢ ( A j = { x i j } i = 1 m j ) , providing an ordering E={(P,Q)|APAQ} of at least some training data sets where all training samples xiεAP are ranked higher than any sample xjεAQ, solving a mathematical optimization program to determine the ranking function ƒ that classifies said feature points x into sets A. For any two sets Ai, Aj, AiAj, and the ranking function ƒ satisfies inequality constraints ƒ(xi)≦ƒ(xj) for all xiεconv(Ai) and xjεconv(Aj), where conv(A) represents the convex hull of the elements of set A.

3. 发明申请

US20050020903A1 Systems and methods for automated diagnosis and decision support for heart related diseases and conditions 有权
标题翻译：用于心脏相关疾病和病症的自动诊断和决策支持的系统和方法
公开(公告)号：US20050020903A1
公开(公告)日：2005-01-27
申请号：US10876801
申请日：2004-06-25
申请人： Sriram Krishnan , Alok Gupta , R. Rao , Dorin Comaniciu , Xiang Zhou
发明人： Sriram Krishnan , Alok Gupta , R. Rao , Dorin Comaniciu , Xiang Zhou
IPC分类号： A61B5/05 , G06F17/00
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。

4. 发明申请

US20060239527A1 Three-dimensional cardiac border delineation in medical imaging 审中-公开
标题翻译：医学影像三维心脏边界描绘
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。

5. 发明申请

US20060200010A1 Guiding differential diagnosis through information maximization 有权
标题翻译：通过信息最大化指导鉴别诊断
公开(公告)号：US20060200010A1
公开(公告)日：2006-09-07
申请号：US11365271
申请日：2006-03-01
申请人： Romer Rosales , Marianne Mueller , Sriram Krishnan , R. Rao
发明人： Romer Rosales , Marianne Mueller , Sriram Krishnan , R. Rao
IPC分类号： A61B5/00
CPC分类号： G06F19/34 , G06F19/00 , G06F19/3481 , G06Q50/22 , G06Q50/24 , G16H15/00 , G16H50/20 , G16H50/70
摘要： A system and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information as well as clinical records from other patients can reduce the uncertainty in both diagnosis and treatment options. The information maximization may consider additional data such as risk, cost, and comfort in making a proper medical decision.
摘要翻译：公开了一种基于信息最大化的诊断和处理决策的系统和方法。利用患者信息以及其他患者的临床记录，可以减少诊断和治疗方案的不确定性。信息最大化可以考虑额外的数据，如风险，成本和舒适度，做出适当的医疗决策。

6. 发明申请

US20060064017A1 Hierarchical medical image view determination 审中-公开
标题翻译：分层医学图像视图确定
公开(公告)号：US20060064017A1
公开(公告)日：2006-03-23
申请号：US11231593
申请日：2005-09-21
申请人： Sriram Krishnan , Jinbo Bi , R. Rao , Jonathan Stoeckel , Matthew Otey
发明人： Sriram Krishnan , Jinbo Bi , R. Rao , Jonathan Stoeckel , Matthew Otey
IPC分类号： A61B8/02
CPC分类号： G06T7/0012 , G06K9/6217 , G06K9/6282 , G06T2207/30048
摘要： A cardiac view of a medical ultrasound image is automatically identified. By grouping different views into sub-categories, a hierarchal classifier identifies the views. For example, apical views are distinguished from parasternal views. Specific types of apical or parasternal views are identified based on distinguishing between images of the geneses. Different features are used for classifying, such as gradients, functions of the gradients, statistics of an average frame of data from a clip or sequence of frames, or a number of edges along a given direction. The number of features used may be compressed, such as by classifying a plurality of features into a new feature. For example, alpha weights in a model of features and classes are determined and used as features for classification.
摘要翻译：医疗超声图像的心脏视图被自动识别。通过将不同的视图分组到子类别中，层级分类器标识视图。例如，顶端视图与胸骨旁观点不同。基于区分基因图像来确定顶端或胸骨旁观察的具体类型。不同的特征用于分类，例如梯度，梯度的功能，来自剪辑或帧序列的平均数据帧的统计，或沿给定方向的多个边缘的统计。所使用的特征的数量可以被压缩，例如通过将多个特征分类为新特征。例如，特征和类的模型中的α权重被确定并用作分类的特征。

7. 发明申请

US20050049497A1 Systems and methods for automated diagnosis and decision support for breast imaging 有权
标题翻译：用于乳腺成像自动诊断和决策支持的系统和方法
公开(公告)号：US20050049497A1
公开(公告)日：2005-03-03
申请号：US10877129
申请日：2004-06-25
申请人： Sriram Krishnan , R. Rao , Murat Dundar , Glenn Fung
发明人： Sriram Krishnan , R. Rao , Murat Dundar , Glenn Fung
IPC分类号： A61B8/00 , G06F19/00 , G06T7/00
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/321 , G06T2207/10088 , G06T2207/10116 , G06T2207/20084 , G06T2207/30068 , G16H40/63 , G16H50/20 , Y10S128/92 , Y10S128/922 , Y10S128/923 , Y10S128/924
摘要： CAD (computer-aided diagnosis) systems and applications for breast 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 diagnosis of breast cancer other automated decision support functions that enable decision support for, e.g., screening and staging for breast cancer. 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：提供了用于乳腺成像的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，以提供对医生工作流程的各个方面的决策支持，包括例如乳腺癌的自动诊断其他自动化决策支持功能，其能够为乳腺癌的筛选和分期提供决策支持。 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

US20050234740A1 Business methods and systems for providing healthcare management and decision support services using structured clinical information extracted from healthcare provider data 审中-公开
标题翻译：使用从医疗保健提供者数据中提取的结构化临床信息提供医疗管理和决策支持服务的业务方法和系统
公开(公告)号：US20050234740A1
公开(公告)日：2005-10-20
申请号：US10877127
申请日：2004-06-25
申请人： Sriram Krishnan , R. Rao , William Landi , Sathyakama Sandilya
发明人： Sriram Krishnan , R. Rao , William Landi , Sathyakama Sandilya
IPC分类号： G06Q10/00 , G06Q30/00 , G06F17/60
CPC分类号： G06Q10/10 , G06Q10/06398 , G06Q30/02 , G06Q50/22 , G16H50/70
摘要： Business methods and systems that are provided use knowledge-based expert systems for mining (extracting) highly structured clinical information from various structured and unstructured sources of healthcare provider data. In one business method for on-line healthcare management and decision support, a service provider maintaining a collection of structured clinical data, the structured clinical data comprising information automatically mined from various structured and unstructured sources of healthcare provider data from one or more different healthcare providers. The service provider provides a customer on-line access to structured clinical data in the collection, or providing an on-line service to the customer using structured clinical data in the collection, based on a service agreement between the customer and the service provider.
摘要翻译：提供的业务方法和系统使用基于知识的专家系统，从各种结构化和非结构化的医疗保健提供者数据来源挖掘（提取）高度结构化的临床信息。在一种用于在线医疗保健管理和决策支持的业务方法中，服务提供商维护结构化临床数据的集合，结构化临床数据包括从来自一个或多个不同医疗保健提供者的医疗保健提供者数据的各种结构化和非结构化来源自动开采的信息。服务提供商可以根据客户和服务提供商之间的服务协议，在收集中提供客户在线访问收集中的结构化临床数据，或在收集中使用结构化临床数据向客户提供在线服务。

9. 发明申请

US20070276777A1 Personalized Prognosis Modeling In Medical Treatment Planning 有权
标题翻译：个性化预后建模医疗策划
公开(公告)号：US20070276777A1
公开(公告)日：2007-11-29
申请号：US11735720
申请日：2007-04-16
申请人： Sriram Krishnan , R. Rao , Christopher Amies
发明人： Sriram Krishnan , R. Rao , Christopher Amies
IPC分类号： G06F17/00
CPC分类号： A61N5/103 , A61N2005/1041 , G06F19/00 , G06F19/3481 , G16H50/30 , G16H50/50
摘要： Automated treatment planning is provided with individual specific consideration. One or more prognosis models indicate survivability as a function of patient specific information for a given dose. By determining survivability for a plurality of doses, the biological model represented by survivability as a function of dose is determined from the specific patient. Similarly, the chances of complications or side effects are determined. The chance of survivability and chance of complication are used as or instead of the tumor control probability and normal tissue complications probability, respectively. The desired tumor dosage and tolerance dosage are selected as a function of the patient specific dose distributions. The selected dosages are input to an inverse treatment planning system for establishing radiation treatment parameters.
摘要翻译：提供自动化治疗计划，具体考虑。一个或多个预后模型表明作为给定剂量的患者特异性信息的函数的存活率。通过确定多个剂量的存活率，从特定患者确定作为剂量的函数的存活率所表示的生物学模型。类似地，确定并发症或副作用的机会。生存能力和并发症的机会分别被用作肿瘤控制概率和正常组织并发症概率。选择所需的肿瘤剂量和耐受剂量作为患者具体剂量分布的函数。选择的剂量被输入到用于建立放射治疗参数的反向治疗计划系统。

10. 发明申请

US20060265253A1 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：US20060265253A1
公开(公告)日：2006-11-23
申请号：US11435660
申请日：2006-05-17
申请人： R. Rao , Sriram Krishnan , William Landi , Randall Case
发明人： R. Rao , Sriram Krishnan , William Landi , Randall Case
IPC分类号： G06F19/00 , G06F17/30
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.
摘要翻译：提供了从患者记录中挖掘信息和/或使用这种开采信息的改进。确定了预定的约会。作为回应，患者记录被开采以识别任何可能的缺乏依从性。产生需要授权并包括临床行为或处方的表格，至少部分地解决缺乏遵守的情况。与患者的接触由处理器发起，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，表明遵守指南的可能性不足。建议实时更新可能会改变概率的信息。

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