专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08977825B1 Techniques for abstract profile definition to support information hiding 有权
标题翻译：抽象配置文件定义技术支持信息隐藏
公开(公告)号：US08977825B1
公开(公告)日：2015-03-10
申请号：US13435907
申请日：2012-03-30
申请人： Eric Scott Lewine , Neil Schutzman , Scott D. Von Rhee , Sriram Krishnan , Mario Wurzl
发明人： Eric Scott Lewine , Neil Schutzman , Scott D. Von Rhee , Sriram Krishnan , Mario Wurzl
IPC分类号： G06F12/00 , G06F13/00 , G06F13/28
CPC分类号： G06F13/28 , G06F3/0605 , G06F3/0631 , G06F3/0665 , G06F3/067 , G06F13/00 , G06F17/30
摘要： A method performed by a storage management computer includes (a) receiving a set of storage profile definitions (SPDs) from an administrator of a data storage system over a user interface, each SPD of the set of SPDs including (1) a storage profile name and (2) a set of storage policies assigned to that SPD, (b) providing the storage profile names from the set of SPDs to an environment management application, the environment management application being configured to manage environments that use storage from the data storage system, (c) in response to providing, receiving a selection of a particular SPD from the environment management application to be used in connection with a particular environment, and (d) provisioning a unit of storage from the data storage system to the particular environment in accordance with the set of storage policies assigned to the particular SPD.
摘要翻译：由存储管理计算机执行的方法包括（a）通过用户接口从数据存储系统的管理员接收一组存储简档定义（SPD），所述SPD组的每个SPD包括（1）存储简档名称以及（2）分配给该SPD的一组存储策略，（b）将该SPD的存储简档名称提供给环境管理应用，所述环境管理应用被配置为管理使用来自数据存储系统的存储的环境（c）响应于提供，从环境管理应用中接收特定SPD的选择以与特定环境结合使用，以及（d）将数据存储系统中的存储单元提供给特定环境中的特定环境根据分配给特定SPD的一组存储策略。

2. 发明授权

US08579784B2 Personalized prognosis modeling in medical treatment planning 有权
标题翻译：医疗策划中的个性化预后建模
公开(公告)号：US08579784B2
公开(公告)日：2013-11-12
申请号：US12944288
申请日：2010-11-11
申请人： Sriram Krishnan , R. Bharat Rao , Christopher Jude Amies
发明人： Sriram Krishnan , R. Bharat Rao , Christopher Jude Amies
IPC分类号： A61N5/00
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。

3. 发明申请

US20110286654A1 Segmentation of Biological Image Data 审中-公开
标题翻译：生物图像数据分割
公开(公告)号：US20110286654A1
公开(公告)日：2011-11-24
申请号：US13109457
申请日：2011-05-17
申请人： Sriram Krishnan
发明人： Sriram Krishnan
IPC分类号： G06K9/00
CPC分类号： G06K9/0014 , G06T7/12 , G06T7/155 , G06T2207/30024
摘要： Described herein are systems and methods for automated segmentation of image data. According to one aspect of the present technology, systems and methods are provided for detecting regions of interest within biological images. In particular, first and second images of first and second biological samples are received, wherein one or more routine stains have previously been applied to the first biological sample. A region of interest in the first image may be segmented to generate a boundary. The boundary may then be transferred to the second image to segment a corresponding region of interest in the second image.
摘要翻译：这里描述了用于图像数据的自动分割的系统和方法。根据本技术的一个方面，提供了用于检测生物图像内的感兴趣区域的系统和方法。特别地，接收第一和第二生物样品的第一和第二图像，其中一个或多个常规染料先前已经施加到第一生物样品。可以对第一图像中的感兴趣区域进行分割以产生边界。然后可以将边界传送到第二图像以分割第二图像中的对应的感兴趣区域。

4. 发明授权

US07805385B2 Prognosis modeling from literature and other sources 有权
标题翻译：文献和其他来源的预后建模
公开(公告)号：US07805385B2
公开(公告)日：2010-09-28
申请号：US11735736
申请日：2007-04-16
申请人： Harald Steck , Sriram Krishnan , R. Bharat Rao , Philippe Lambin , Cary Dehing-Oberije
发明人： Harald Steck , Sriram Krishnan , R. Bharat Rao , Philippe Lambin , Cary Dehing-Oberije
IPC分类号： G06E1/00 , G06F15/00 , G06G7/00 , G06N99/00
CPC分类号： G16H50/20 , G06F19/00 , G16H50/70
摘要： A predictor of medical treatment outcome is developed and applied. A prognosis model is developed from literature. The model is determined by reverse engineering the literature reported quantities. A relationship of a given variable to a treatment outcome is derived from the literature. A processor may then use individual patient values for one or more variables to predict outcome. The accuracy may be increased by including a data driven model in combination with the literature driven model.
摘要翻译：开发并应用了治疗结果的预测因子。从文献开发预后模型。该模型通过逆向工程文献报道的量来确定。给定变量与治疗结果的关系来源于文献。然后，处理器可以使用单个患者值用于一个或多个变量来预测结果。通过将数据驱动模型与文献驱动模型相结合，可以提高精度。

5. 发明申请

US20100222646A1 Patient Data Mining for Cardiology Screening 有权
标题翻译：病人数据挖掘用于心脏病学筛查
公开(公告)号：US20100222646A1
公开(公告)日：2010-09-02
申请号：US12780012
申请日：2010-05-14
申请人： R. Bharat Rao , Sriram Krishnan
发明人： R. Bharat Rao , Sriram Krishnan
IPC分类号： A61B5/00
CPC分类号： G06F19/3443 , G06F17/3061 , G06F19/00 , G06F19/321 , G06F19/324 , G06F19/325 , G06F19/328 , G06F19/3418 , G06F19/3481 , G06Q10/10 , G06Q50/22 , G06Q50/24 , G16H10/20 , G16H10/60 , G16H15/00 , G16H40/20 , G16H40/63 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70 , Y10S128/92
摘要： A system and method for screening for coronary heart disease is provided. The method includes the steps of retrieving a test for assessing risk of coronary heart disease, the test including a plurality of data fields relating to coronary risk factors; accessing a database to populate the data fields with information of an individual patient; and calculating a risk assessment of the individual patient developing coronary heart disease. A system includes a first database including a plurality of structured computerized patient records; a second database including a knowledge base relating to coronary heart disease, the second database including at least one test for determining coronary heart disease risk; and a processor for retrieving the at least one test from the second database, populating the at least one test with patient information retrieved from the first database and calculating a risk assessment for at least one patient.
摘要翻译：提供了一种用于筛选冠心病的系统和方法。该方法包括检索用于评估冠心病风险的检验步骤，该检查包括与冠状动脉危险因素相关的多个数据区域; 访问数据库以用个体患者的信息填充数据字段; 并计算个体患者发生冠心病的风险评估。一种系统包括：第一数据库，包括多个结构化计算机化病人记录; 包括与冠心病相关的知识库的第二数据库，所述第二数据库包括用于确定冠心病风险的至少一个测试; 以及处理器，用于从所述第二数据库检索所述至少一个测试，使用从所述第一数据库检索的患者信息填充所述至少一个测试，并计算至少一个患者的风险评估。

6. 发明授权

US07764817B2 Method for database guided simultaneous multi slice object detection in three dimensional volumetric data 有权
标题翻译：三维体积数据中数据库引导同时多切片物体检测方法
公开(公告)号：US07764817B2
公开(公告)日：2010-07-27
申请号：US11502709
申请日：2006-08-10
申请人： Bogdan Georgescu , Xiang Zhou , Wei Hong , Dorin Comaniciu , Sriram Krishnan
发明人： Bogdan Georgescu , Xiang Zhou , Wei Hong , Dorin Comaniciu , Sriram Krishnan
IPC分类号： G06K9/00 , G06K9/62 , G06K9/46 , G06K9/66 , G06K9/32
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10136 , G06T2207/20081 , G06T2207/30048
摘要： The present invention is directed to a method for automatic detection and segmentation of a target anatomical structure in received three dimensional (3D) volumetric medical images using a database of a set of volumetric images with expertly delineated anatomical structures. A 3D anatomical structure detection and segmentation module is trained offline by learning anatomical structure appearance using the set of expertly delineated anatomical structures. A received volumetric image for the anatomical structure of interest is searched online using the offline learned 3D anatomical structure detection and segmentation module.
摘要翻译：本发明涉及一种使用具有专门描绘的解剖结构的一组体积图像的数据库来自动检测和分割接收的三维（3D）体积医学图像中的目标解剖结构的方法。 3D解剖结构检测和分割模块通过使用专门描绘的解剖结构集合学习解剖结构外观来进行离线训练。使用离线学习的3D解剖结构检测和分割模块在线搜索用于感兴趣解剖结构的接收体积图像。

7. 发明授权

US07730180B1 Resolving multiple master node conflict in a DDB 有权
标题翻译：解决DDB中的多个主节点冲突
公开(公告)号：US07730180B1
公开(公告)日：2010-06-01
申请号：US11880325
申请日：2007-07-20
申请人： Sriram Krishnan , Gregory W. Lazar
发明人： Sriram Krishnan , Gregory W. Lazar
IPC分类号： G06F15/173
CPC分类号： G06F17/30575
摘要： In a multinode computer network, a directory database (DDB) in each of the nodes, contents of the DDB being replicated throughout the network through use of one of its nodes having been appointed as master node. The master node updates each DDB in each node in its network or domain configuration when the configuration changes. A global administrator has authority to replace or select a master node and to configure a domain, and performs these and other functions by way of computer terminal screen dialogs offered by a graphical user interface (GUI) associated with the computer network. In the case of multiple master nodes attempting to be master for the same nodes in the same network at the same time, this conflict is resolved in one embodiment of the present invention by allowing the most recently selected purported master node to be the actual master node. After resolution of this conflict the result is communicated by the prevailing master node to all nodes in the network. This resolution takes into account a global network with varying time zones, and further takes into account the remote possibility of a simultaneous appointment of two masters.
摘要翻译：在多节点计算机网络中，每个节点中的目录数据库（DDB），DDB的内容通过使用其节点中的一个被指定为主节点而在整个网络中复制。主节点在配置更改时更新其网络或域配置中每个节点中的每个DDB。全局管理员有权替换或选择主节点并配置域，并通过与计算机网络相关联的图形用户界面（GUI）提供的计算机终端屏幕对话来执行这些和其他功能。在多个主节点同时尝试对相同网络中的相同节点进行主机的情况下，通过允许最近选择的所声称的主节点是实际主节点来解决本发明的一个实施例中的这种冲突。解决此冲突后，结果将由主节点传送到网络中的所有节点。该决议考虑到具有不同时区的全球网络，并进一步考虑到同时预约两位主人的远程可能性。

8. 发明申请

US20100121178A1 Systems and Methods for Automated Diagnosis and Decision Support for Breast Imaging 审中-公开
标题翻译：乳腺成像自动诊断和决策支持的系统和方法
公开(公告)号：US20100121178A1
公开(公告)日：2010-05-13
申请号：US12621363
申请日：2009-11-18
申请人： Sriram Krishnan , R. Bharat Rao , Murat Dundar , Glenn Fung
发明人： Sriram Krishnan , R. Bharat Rao , Murat Dundar , Glenn Fung
IPC分类号： A61B5/055 , A61B8/14
CPC分类号： G06T7/0012 , 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。

9. 发明授权

US07672495B2 Method, apparatus and computer program for displaying marks in an image data set 有权
标题翻译：用于在图像数据集中显示标记的方法，装置和计算机程序
公开(公告)号：US07672495B2
公开(公告)日：2010-03-02
申请号：US11465386
申请日：2006-08-17
申请人： Carl J. G. Evertsz , Anke Bodicker , Sriram Krishnan , Balaji Krishnapuram , R. Bharat Rao , Dennis O'Dell , Alok Gupta
发明人： Carl J. G. Evertsz , Anke Bodicker , Sriram Krishnan , Balaji Krishnapuram , R. Bharat Rao , Dennis O'Dell , Alok Gupta
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/321 , G06T2207/30068
摘要： A method and an apparatus display marks in an image data set, wherein an image data set comprising marks is provided and wherein during a review phase not all marks within the image data set are displayed at the same time. A list of the marks can be generated by sorting the marks depending on a predetermined sorting criterion and wherein the marks are displayed temporally one after another within the image data set in accordance with the generated list. The image data set is for example a medical image data set, wherein the marks are computer-aided detection (CAD) marks and wherein the sorting criterion is the probability of marking illness, in particular the suspiciousness.
摘要翻译：方法和装置在图像数据组中显示标记，其中提供了包括标记的图像数据组，并且其中在检查阶段期间不是同时显示图像数据集内的所有标记。可以通过根据预定的分类标准对标记进行排序来生成标记的列表，并且其中根据所生成的列表，在图像数据集中，这些标记在时间上依次显示。图像数据集是例如医学图像数据集，其中标记是计算机辅助检测（CAD）标记，其中分类标准是识别疾病，特别是可疑性的概率。

10. 发明授权

US07672491B2 Systems and methods providing automated decision support and medical imaging 有权
标题翻译：为医学成像提供自动化决策支持的系统和方法
公开(公告)号：US07672491B2
公开(公告)日：2010-03-02
申请号：US11083161
申请日：2005-03-17
申请人： Sriram Krishnan , Dorin Comaniciu , Xiang Sean Zhou , Michael G. Cannon , Allen Dutton
发明人： Sriram Krishnan , Dorin Comaniciu , Xiang Sean Zhou , Michael G. Cannon , Allen Dutton
IPC分类号： G06K9/00 , A61B6/00
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。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式