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21. 发明申请

US20060030769A1 System and method for loading timepoints for analysis of disease progression or response to therapy 审中-公开
标题翻译：加载时间点的系统和方法，用于分析疾病进展或对治疗的反应
公开(公告)号：US20060030769A1
公开(公告)日：2006-02-09
申请号：US11146961
申请日：2005-06-07
申请人： Venkat Ramamurthy , Arun Krishnan , Christian Beldinger , Juergen Soldner , Maxim Mamin , Axel Barth , Stefan Käpplinger , Michael Gluth , Peggy Hawman , Darrell Burckhardt , Axel Platz
发明人： Venkat Ramamurthy , Arun Krishnan , Christian Beldinger , Juergen Soldner , Maxim Mamin , Axel Barth , Stefan Käpplinger , Michael Gluth , Peggy Hawman , Darrell Burckhardt , Axel Platz
IPC分类号： A61B5/05
CPC分类号： G06T7/0012 , G06F19/321 , G06T7/38 , G06T2207/30004 , G16H10/60
摘要： A system and method for loading a timepoint for comparison with a previously loaded timepoint are provided. The method comprises: selecting an image dataset of the timepoint; validating the image dataset of the timepoint against a validated image dataset of the previously loaded timepoint; and constructing a volume based on the image dataset of the timepoint.
摘要翻译：提供了用于加载用于与先前加载的时间点进行比较的时间点的系统和方法。该方法包括：选择时间点的图像数据集; 根据先前加载的时间点的经过验证的图像数据集验证时间点的图像数据集; 并基于时间点的图像数据集构建卷。

22. 发明授权

US06389104B1 Fluoroscopy based 3-D neural navigation based on 3-D angiography reconstruction data 有权
标题翻译：基于3-D血管造影重建数据的基于荧光透视的3-D神经导航
公开(公告)号：US06389104B1
公开(公告)日：2002-05-14
申请号：US09607906
申请日：2000-06-30
申请人： Ali Bani-Hashemi , Arun Krishnan , James Williams
发明人： Ali Bani-Hashemi , Arun Krishnan , James Williams
IPC分类号： A61B603
CPC分类号： A61B6/504 , A61B6/12 , A61B6/4441 , A61B6/463 , A61B6/466 , A61B6/481 , A61B6/5235 , A61B6/5247 , A61B90/36 , G06T11/006 , G06T2211/404 , G06T2211/412 , G06T2211/428
摘要： A method and apparatus for providing a high-quality representation of a volume having a real-time 3-D reconstruction therein of movement of an object, wherein the real-time movement of the object is determined using a lower-quality representation of only a portion of the volume. Movement of the object is detected in a 2-D X-ray fluoroscopy image and is reconstructed in a 3-D angiography (X-ray) reconstruction. Using a common C-arm and X-ray geometry advantageously, the 2-D and 3-D data representative of vascular structures of a patient is acquired, thereby facilitating the merger of the real-time 2-D fluoroscopic images with the 3-D reconstructed vascular structures in a common 3-D-visualization framework. Also described is a technique for 3-D reconstruction of a catheter from real-time 2-D fluoroscopic images and stored 3-D angiography data, so as to present the 3-D reconstructed catheter in the common coordinate frame. The merger of 3-D angiography image representations acquired with other modalities, such as MR or CT, is also disclosed.
摘要翻译：一种用于提供其中具有物体的移动的实时3维重建的体积的高质量表示的方法和装置，其中使用较低质量的仅仅一个部分音量。在2-D X射线荧光透视图像中检测物体的移动，并在3-D血管造影（X射线）重建中重建。有利地使用常见的C形臂和X射线几何形状，代表患者的血管结构的2-D和3-D数据，从而有助于将实时2-D透视图像与3- D重建血管结构在一个共同的3-D可视化框架。还描述了一种用于从实时二维透视图像和存储的三维血管造影数据进行导管三维重建的技术，以将3-D重建的导管呈现在共同的坐标系中。还公开了与其他方式（例如MR或CT）获得的3-D血管造影图像表示的合并。

23. 发明授权

US08260833B2 Naming scheme for media storage 失效
标题翻译：媒体存储的命名方案
公开(公告)号：US08260833B2
公开(公告)日：2012-09-04
申请号：US13015076
申请日：2011-01-27
申请人： Alain Dazzi , Arun Krishnan
发明人： Alain Dazzi , Arun Krishnan
IPC分类号： G06F12/00 , G06F17/30
CPC分类号： G06F17/30
摘要： A method allowing for fast mapping between a content identifier (ID) for a media content file and the file path of said media content file includes: dividing a plurality of characters making up the contend ID into a plurality of ordered subsections separated by a separator character, correlating at least one of the subsections with a directory in an electronic file system, and correlating the last of the subsections with a name of the media content file, the media content file being located within a directory correlated with a preceding subsection.
摘要翻译：允许在媒体内容文件的内容标识符（ID）和所述媒体内容文件的文件路径之间进行快速映射的方法包括：将构成竞争ID的多个字符分成由分隔符分隔的多个有序子部分将至少一个子部分与电子文件系统中的目录相关联，并且将最后的子部分与媒体内容文件的名称相关联，所述媒体内容文件位于与前一小节相关的目录内。

24. 发明申请

US20110191447A1 CONTENT DISTRIBUTION SYSTEM 审中-公开
标题翻译：内容分配系统
公开(公告)号：US20110191447A1
公开(公告)日：2011-08-04
申请号：US13015122
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： A system for storing content available for streaming includes a storage tier with a plurality of storage clusters, each of the storage clusters having at least one server, the storage clusters collectively storing multiple media content files; a streaming tier coupled to the storage tier, the streaming tier having multiple streaming servers, the streaming tier being configured to stream data over a network faster than the storage tier is able to stream the data over the network; and a computer-implemented synchronization module configured to analyze traffic statistics associated with a media content file stored on the storage tier and selectively replicate the media content file on the streaming tier based on the traffic statistics.
摘要翻译：用于存储可用于流传输的内容的系统包括具有多个存储集群的存储层，每个存储集群具有至少一个服务器，所述存储集群共同存储多个媒体内容文件; 耦合到所述存储层的流层，所述流层具有多个流服务器，所述流层被配置为比所述存储层能够通过所述网络流式传输所述数据更快地流过网络上的数据; 以及计算机实现的同步模块，被配置为分析与存储在存储层上的媒体内容文件相关联的流量统计，并且基于流量统计选择性地在流层上复制媒体内容文件。

25. 发明申请

US20110191446A1 STORING AND STREAMING MEDIA CONTENT 审中-公开
标题翻译：存储和流媒体内容
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。

26. 发明申请

US20090310836A1 Automatic Learning of Image Features to Predict Disease 有权
标题翻译：自动学习图像特征预测疾病
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。

27. 发明申请

US20090309874A1 Method for Display of Pre-Rendered Computer Aided Diagnosis Results 审中-公开
标题翻译：显示预渲染计算机辅助诊断结果的方法
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。

28. 发明授权

US07529394B2 CAD (computer-aided decision) support for medical imaging using machine learning to adapt CAD process with knowledge collected during routine use of CAD system 有权
标题翻译： CAD（计算机辅助决策）支持使用机器学习的医学成像，使CAD过程与CAD系统常规使用中收集的知识相适应
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。

29. 发明申请

US20080025592A1 System and Method for Detection of Breast Masses and Calcifications Using the Tomosynthesis Projection and Reconstructed Images 有权
标题翻译：使用Tomosynthesis Projection和重建图像检测乳腺肿块和钙化的系统和方法
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。

30. 发明授权

US07324695B2 Prioritized image visualization from scalable compressed data 有权
标题翻译：可扩展压缩数据的优先图像可视化
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。

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