公开(公告)号：US20060171586A1

公开(公告)日：2006-08-03

申请号：US11265772

申请日：2005-11-02

申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao ,  Alok Gupta

发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao ,  Alok Gupta

IPC分类号： G06K9/34 ,  G06K9/00

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。

公开(公告)号：US20050185826A1

公开(公告)日：2005-08-25

申请号：US11058784

申请日：2005-02-16

申请人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao

发明人： Bogdan Georgescu ,  Xiang Zhou ,  Dorin Comaniciu ,  R. Rao

IPC分类号： G06K9/64 ,  G06T7/20 ,  G06K9/00

CPC分类号： G06K9/3216 ,  G06K9/6206 ,  G06T7/215 ,  G06T7/269

摘要： 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： 公开了一种跟踪对象的系统和方法。 接收包括多个图像帧的视频序列。 维护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。

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。

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。

公开(公告)号：US20080059391A1

公开(公告)日：2008-03-06

申请号：US11850193

申请日：2007-09-05

申请人： Romer Rosales ,  Praveen Krishnamurthy ,  R. Rao ,  Harald Steck

发明人： Romer Rosales ,  Praveen Krishnamurthy ,  R. Rao ,  Harald Steck

IPC分类号： G06F15/18 ,  G06F17/10

CPC分类号： G16H50/20 ,  G06F19/00 ,  G16H50/50

摘要： A medical concept is learned about or inferred from a medical transcript. A probabilistic model is trained from medical transcripts. For example, the problem is treated as a graphical model. Discrimitive or generative learning is used to train the probabilistic model. A mutual information criterion can be employed to identify a discrete set of words or phrases to be used in the probabilistic model The model is based on the types of medical transcripts, focusing on this source of data to output the most probable state of a patient in the medical field or domain. The learned model may be used to infer a state of a medical concept for a patient

摘要翻译： 从医学成绩单中了解或推断医学概念。 概率模型由医学成绩单进行培训。 例如，该问题被视为图形模型。 使用歧视或生成学习来训练概率模型。 可以采用互信息标准来识别要在概率模型中使用的一组离散的单词或短语。该模型基于医学成绩单的类型，重点在于该数据来源以输出患者的最可能的状态 医疗领域或领域。 所学习的模型可以用于推断患者的医学概念的状态

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.

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。

公开(公告)号：US20070094188A1

公开(公告)日：2007-04-26

申请号：US11505080

申请日：2006-08-16

申请人： Abhinay Pandya ,  Romer Rosales ,  R. Rao ,  Harald Steck

发明人： Abhinay Pandya ,  Romer Rosales ,  R. Rao ,  Harald Steck

IPC分类号： G06N5/00

CPC分类号： G16H50/20 ,  G06F19/00

摘要： Medical ontology information is used for mining and/or probabilistic modeling. A domain knowledge base may be automatically or semi-automatically created by a processor from a medical ontology. The domain knowledge base, such as a list of disease associated terms, is used to mine for corresponding information from a medical record. The relationship of different terms with respect to a disease may be used to train a probabilistic model. Probabilities of a disease or chance of indicating the disease are determined based on the terms from a medical ontology. This probabilistic reasoning is learned with a machine from ontology information and a training data set.

摘要翻译： 医学本体信息用于挖掘和/或概率建模。 领域知识库可以由处理器从医学本体自动或半自动创建。 领域知识库，例如疾病相关术语列表，用于从医疗记录中挖掘相应的信息。 可以使用不同术语与疾病的关系来训练概率模型。 根据医学本体的术语确定疾病的概率或指示疾病的机会。 这种概率推理是通过本体信息和训练数据集的机器学习的。

公开(公告)号：US20050246318A1

公开(公告)日：2005-11-03

申请号：US11067992

申请日：2005-02-28

申请人： Phan Giang ,  Sathyakama Sandilya ,  William Landi ,  R. Rao

发明人： Phan Giang ,  Sathyakama Sandilya ,  William Landi ,  R. Rao

IPC分类号： G06F17/30 ,  G06F7/00

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，该系统包括处理器，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，将数据库数据分割成数据段，将数据段配对成数据象限，并且检测每个象限的重复。

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。