公开(公告)号：US20110191446A1

公开(公告)日：2011-08-04

申请号：US13014881

申请日：2011-01-27

申请人： Alain Dazzi ,  Arun Krishnan

发明人： Alain Dazzi ,  Arun Krishnan

IPC分类号： G06F15/16

CPC分类号： G06F15/16

摘要： Providing media content includes storing a plurality of media files on a storage tier having at least one storage cluster, each storage cluster having at least one server, replicating at least some of the media files stored on the storage tier on at least one streaming server of a streaming tier configured to stream data over a network faster than the storage tier is able to stream the data over the network; receiving a request from a client over the network for a portion of a selected media file; streaming the requested portion of the selected media file to the client from the streaming tier if the selected media file is stored on the streaming tier; and streaming the requested portion of the selected media file to the client from the storage tier if the media file is not stored on the streaming tier.

摘要翻译： 提供媒体内容包括将多个媒体文件存储在具有至少一个存储集群的存储层上，每个存储集群具有至少一个服务器，在至少一个流媒体服务器上复制存储在存储层上的至少一些媒体文件 配置成通过网络流式传输数据流的流层比存储层能够通过网络流式传输数据; 通过所述网络从所述客户端接收针对所选择的媒体文件的一部分的请求; 如果所选择的媒体文件存储在流媒体层上，则将所选择的媒体文件的所请求部分从流层传送到客户端; 以及如果所述媒体文件未被存储在所述流层上，则将所选择的媒体文件的所请求部分从所述存储层流式传输到所述客户端。

公开(公告)号：US20100284590A1

公开(公告)日：2010-11-11

申请号：US12787916

申请日：2010-05-26

申请人： Zhigang Peng ,  Yimo Tao ,  Xiang Sean Zhou ,  Yiqiang Zhan ,  Arun Krishnan

发明人： Zhigang Peng ,  Yimo Tao ,  Xiang Sean Zhou ,  Yiqiang Zhan ,  Arun Krishnan

IPC分类号： G06K9/46 ,  G06K9/00

CPC分类号： A61B6/032 ,  A61B6/469 ,  A61B6/488 ,  G06K9/3233 ,  G06K9/6231 ,  G06K9/6267 ,  G06K2209/05 ,  G06T7/12 ,  G06T7/73 ,  G06T2207/10081 ,  G06T2207/20104 ,  G06T2207/20164 ,  G06T2207/30048

摘要： Systems and methods for performing a medical imaging study include acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.

摘要翻译： 用于执行医学成像研究的系统和方法包括获取初步扫描。 从初步扫描中自动检测一组本地特征候选。 使用其他本地特征候选者的多个组合来评估每个本地特征候选者的准确性，并且去除被评估为具有最低精度的局部特征候选。 重复评估和去除步骤，直到仅保留预定数量的局部特征候选。 感兴趣区域（ROI）基于剩余的预定数量的局部特征候选位于初步扫描内。 基于初步扫描中ROI的位置执行医学成像研究。

公开(公告)号：US20090310836A1

公开(公告)日：2009-12-17

申请号：US12427974

申请日：2009-04-22

申请人： Arun Krishnan ,  Xiang Zhou ,  Martin Huber ,  Michael Kelm ,  Joerg Freund

发明人： Arun Krishnan ,  Xiang Zhou ,  Martin Huber ,  Michael Kelm ,  Joerg Freund

IPC分类号： G06K9/62 ,  G06K9/00

CPC分类号： G06T7/11 ,  G06F19/00 ,  G06T7/0012 ,  G06T2207/20081 ,  G16H50/70

摘要： A method for training a computer system for automatic detection of regions of interest includes receiving patient records. For each of the received patient records a text field and a medical image are identified from within the patient record and the medical image is automatically segmented to identify a structure of interest. The text field is searched for one or more keywords indicative of a particular abnormality associated with the structure of interest. The medical image is added to a grouping representing the particular abnormality when the text field indicates that the patient has the particular abnormality and the medical image is added to a grouping representing the absence of the particular abnormality when the text field does not indicate that the patient has the particular abnormality. The groupings of medical images are used to automatically train a computer system for the subsequent detection of the particular abnormality.

摘要翻译： 用于训练用于感兴趣区域的自动检测的计算机系统的方法包括接收患者记录。 对于每个接收到的患者记录，从患者记录中识别文本字段和医学图像，并且医疗图像被自动分段以识别感兴趣的结构。 搜索文本字段以查找指示与感兴趣结构相关联的特定异常的一个或多个关键字。 当文本字段指示患者具有特定异常并将医学图像添加到代表不存在特定异常的分组时，医疗图像被添加到表示特定异常的分组中，当文本字段没有指示患者 有特殊的异常。 医学图像的分组用于自动训练计算机系统以便随后检测特定的异常。

公开(公告)号：US20090309874A1

公开(公告)日：2009-12-17

申请号：US12420430

申请日：2009-04-08

申请人： Marcos Salganicoff ,  Arun Krishnan ,  Sarang Lakare

发明人： Marcos Salganicoff ,  Arun Krishnan ,  Sarang Lakare

IPC分类号： G06T15/00

CPC分类号： G06T19/00 ,  A61B6/463 ,  A61B6/466 ,  A61B6/5217 ,  A61B6/563 ,  G06F19/321 ,  G06T2210/41

摘要： A method for displaying pre-rendered medical images on a workstation includes receiving three-dimensional medical image data. A region of suspicion is automatically identified within the three-dimensional medical image data. A rendering workstation is used to pre-render the three-dimensional medical image data into a sequence of two-dimensional images in which the identified region of suspicion is featured from a vantage point that is automatically selected to maximize diagnostic value of the two-dimensional images for determining whether the region of suspicion is an actual abnormality. The sequence of pre-rendered two-dimensional images is then stored in a PACS, where it can then be displayed on a viewing workstation.

摘要翻译： 一种用于在工作站上显示预先呈现的医学图像的方法包括接收三维医学图像数据。 在三维医学图像数据内自动识别怀疑区域。 渲染工作站用于将三维医学图像数据预渲染成二维图像序列，其中所识别的怀疑区域的特征在于自动选择的有利位置以最大化二维的诊断价值 用于确定怀疑区域是否是实际异常的图像。 然后将预渲染的二维图像的序列存储在PACS中，然后可以将其显示在观看工作站上。

公开(公告)号：US07529394B2

公开(公告)日：2009-05-05

申请号：US10877263

申请日：2004-06-25

申请人： Arun Krishnan ,  Jonathan Stoeckel

发明人： Arun Krishnan ,  Jonathan Stoeckel

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06Q50/22 ,  G06T2207/30004 ,  G16H40/63 ,  G16H50/20 ,  Y10S128/922

摘要： CAD (computer-aided decision) support systems, methods and tools for medical imaging are provided, which use machine learning classification for automated detection and marking of regions of interest in medical images. Machine learning methods are used for adapting/optimizing a CAD process by seamlessly incorporating physician knowledge into the CAD process using training data that is obtained during routine use of the CAD system.

摘要翻译： 提供CAD（计算机辅助决策）支持系统，用于医学成像的方法和工具，其使用机器学习分类来自动检测和标记医学图像中感兴趣的区域。 机器学习方法用于通过使用在CAD系统的常规使用期间获得的训练数据将医师知识无缝地结合到CAD过程中来适配/优化CAD过程。

公开(公告)号：US20080025592A1

公开(公告)日：2008-01-31

申请号：US11767707

申请日：2007-06-25

申请人： Anna Jerebko ,  Arun Krishnan ,  Xiang Zhou

发明人： Anna Jerebko ,  Arun Krishnan ,  Xiang Zhou

IPC分类号： G06K9/00

CPC分类号： A61B6/466 ,  A61B6/03 ,  A61B6/502 ,  G06T7/0012 ,  G06T7/97 ,  G06T11/005 ,  G06T2207/10112 ,  G06T2207/10116 ,  G06T2207/30068 ,  G06T2211/436

摘要： A method of detecting breast masses and calcifications in digitized images, includes providing a plurality of 2-dimensional (2D) digital X-ray projectional breast images acquired from different viewing angles, extracting candidate lesions and 2D features from said 2D projectional images, computing spicularity characteristics of said candidate lesions, including location, periodicity, and amplitude, applying learning algorithms to said candidate lesions to predict a probability of malignancy of said lesion, receiving from said learning algorithm a probability map of detections for each breast image, said detections comprising associating pixels with a probability of being associated with a malignancy, creating a synthetic 2D slice for each X-ray image wherein malignant regions are indicated by ellipses on a non-malignant background, and constructing a synthetic 3-dimensional (3D) image volume from said 2D synthetic slices.

摘要翻译： 一种在数字化图像中检测乳房肿块和钙化的方法，包括提供从不同视角获取的多个二维（2D）数字X射线投射乳房图像，从所述2D投影图像中提取候选病变和2D特征，计算孢子 所述候选病变的特征，包括位置，周期和幅度，将学习算法应用于所述候选病变以预测所述病变的恶性的概率，从所述学习算法接收每个乳腺图像的检测的概率图，所述检测包括关联 具有与恶性肿瘤相关联的概率的像素，为每个X射线图像创建合成2D切片，其中恶性区域由非恶性背景上的椭圆表示，以及从所述非恶性背景构建合成的三维（3D）图像体积 2D合成切片。

公开(公告)号：US07324695B2

公开(公告)日：2008-01-29

申请号：US11057977

申请日：2005-02-15

申请人： Karthik Krishnan ,  Michael Wesley Marcellin ,  Mariappan S. Nadar ,  Arun Krishnan

发明人： Karthik Krishnan ,  Michael Wesley Marcellin ,  Mariappan S. Nadar ,  Arun Krishnan

IPC分类号： G06K9/36 ,  G06K9/00

CPC分类号： H04L69/04

摘要： A system and method for prioritized transmission of scalable compressed data are provided, the system including a database server for receiving an interactive prioritization request from a client and prioritizing transmission of the compressed data relative to a bin optimization in response to the interactive prioritization request; and the method including receiving an interactive prioritization request from a client, prioritizing transmission of the compressed data relative to the bin optimization in response to the interactive prioritization request and transmitting the prioritized compressed data to the client.

摘要翻译： 提供了一种用于优先传输可伸缩压缩数据的系统和方法，该系统包括数据库服务器，用于从客户端接收交互式优先化请求，并响应于交互优先化请求，优先考虑压缩数据相对于仓优化的传输; 并且所述方法包括从客户端接收交互优先化请求，响应于所述交互优先化请求，将所述压缩数据相对于所述箱优化进行优先级排序，并将优先排序的压缩数据发送给所述客户端。

公开(公告)号：US07244230B2

公开(公告)日：2007-07-17

申请号：US10702721

申请日：2003-11-06

申请人： Bhavani Duggirala ,  Diane S. Paine ,  Dorin Comaniciu ,  Arun Krishnan ,  Xiang Zhou

发明人： Bhavani Duggirala ,  Diane S. Paine ,  Dorin Comaniciu ,  Arun Krishnan ,  Xiang Zhou

IPC分类号： A61B5/00 ,  A61B8/00

CPC分类号： A61B8/56 ,  A61B8/00 ,  A61B8/4427 ,  A61B8/485 ,  A61B8/565 ,  G06F19/00 ,  G06T7/0012 ,  G06T2207/30004 ,  G16H50/20 ,  Y02A90/22 ,  Y02A90/26 ,  Y10S128/925

摘要： Various attributes for medical CAD analysis used alone or in combination are disclosed, including: (1) using medical sensor data and context information associated with the configuration of the medical system to provide recommendations for further acts to be performed for more accurate or different diagnosis, (2) recommending further acts to be performed and providing an indication of the importance of the further act for further diagnosis, (3) distributing the computer-assisted diagnosis software and/or database over multiple systems, and (4) transmitting patient data to a remote system for CAD diagnosis and using the results of the CAD diagnosis at the remote facility.

摘要翻译： 公开了用于单独或组合使用的医疗CAD分析的各种属性，包括：（1）使用与医疗系统的配置相关联的医疗传感器数据和上下文信息来提供用于执行更准确或不同诊断的进一步行为的建议， （2）推荐进一步的行为，并提供进一步诊断的进一步行动的重要性的指示，（3）通过多个系统分发计算机辅助诊断软件和/或数据库，以及（4）将患者数据发送到 用于CAD诊断的远程系统，并在远程设施中使用CAD诊断的结果。

公开(公告)号：US20070076934A1

公开(公告)日：2007-04-05

申请号：US11543416

申请日：2006-10-05

申请人： Arun Krishnan ,  Jonathan Stoeckel

发明人： Arun Krishnan ,  Jonathan Stoeckel

IPC分类号： G06K9/00 ,  G06F19/00

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06Q50/24 ,  G06T2207/30004 ,  G16H50/20

摘要： A computer system for automatic selection of a computer-aided detection (CAD) algorithm including a database storing image data, a browser for navigating the data and selecting image data, an application receiving image data selected by the browser, and a selector selecting a CAD algorithm for processing the image data according to at least one of fixed attributes of the image data and an indication of a subject of the image data.

摘要翻译： 一种用于自动选择计算机辅助检测（CAD）算法的计算机系统，包括存储图像数据的数据库，用于导航数据和选择图像数据的浏览器，接收由浏览器选择的图像数据的应用程序，以及选择CAD 算法，用于根据图像数据的固定属性和图像数据的对象的指示中的至少一个来处理图像数据。

公开(公告)号：US20060031372A1

公开(公告)日：2006-02-09

申请号：US11057977

申请日：2005-02-15

申请人： Karthik Krishnan ,  Michael Marcellin ,  Mariappan Nadar ,  Arun Krishnan

发明人： Karthik Krishnan ,  Michael Marcellin ,  Mariappan Nadar ,  Arun Krishnan

IPC分类号： G06F15/16

CPC分类号： H04L69/04

摘要： A system and method for prioritized transmission of scalable compressed data are provided, the system including a database server for receiving an interactive prioritization request from a client and prioritizing transmission of the compressed data relative to a bin optimization in response to the interactive prioritization request; and the method including receiving an interactive prioritization request from a client, prioritizing transmission of the compressed data relative to the bin optimization in response to the interactive prioritization request and transmitting the prioritized compressed data to the client.

摘要翻译： 提供了一种用于优先传输可伸缩压缩数据的系统和方法，该系统包括数据库服务器，用于从客户端接收交互式优先化请求，并响应于交互优先化请求，优先考虑压缩数据相对于仓优化的传输; 并且所述方法包括从客户端接收交互优先化请求，响应于所述交互优先化请求，将所述压缩数据相对于所述箱优化进行优先级排序，并将优先排序的压缩数据发送给所述客户端。