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41. 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。

42. 发明申请

US20100284590A1 Systems and Methods for Robust Learning Based Annotation of Medical Radiographs 有权
标题翻译：用于健康学习的系统和方法基于医学影像学的注释
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。

43. 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。

44. 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。

45. 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。

46. 发明申请

US20070076934A1 Automatic CAD algorithm selection 有权
标题翻译：自动CAD算法选择
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。

47. 发明申请

US20060031372A1 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：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。

48. 发明申请

US20050201606A1 3D segmentation of targets in multislice image 审中-公开
标题翻译：多分辨率图像中目标的3D分割
公开(公告)号：US20050201606A1
公开(公告)日：2005-09-15
申请号：US10991683
申请日：2004-11-18
申请人： Kazunori Okada , Dorin Comaniciu , Arun Krishnan
发明人： Kazunori Okada , Dorin Comaniciu , Arun Krishnan
IPC分类号： G06F19/00 , G06K9/00 , G06K9/34 , G06T5/00
CPC分类号： G06K9/34 , G06K2209/053
摘要： A method for three-dimensional segmentation of a target in multislice images of volumetric data includes determining a center and a spread of the target by a parametric fitting of the volumetric data, and determining a three-dimensional volume by non-parametric segmentation of the volumetric data iteratively refining the center and spread of the target in the volumetric data.
摘要翻译：用于体积数据的多层图像中的目标的三维分割的方法包括通过体积数据的参数拟合来确定目标的中心和扩展，以及通过体积数据的非参数分割来确定三维体积数据迭代地改进了体积数据中的目标的中心和扩展。

49. 发明申请

US20050096525A1 Volumetric characterization using covariance estimation from scale-space hessian matrices 有权
标题翻译：使用尺度空间非线性矩阵的协方差估计的体积特征
公开(公告)号：US20050096525A1
公开(公告)日：2005-05-05
申请号：US10954741
申请日：2004-09-30
申请人： Kazunori Okada , Dorin Comaniciu , Arun Krishnan
发明人： Kazunori Okada , Dorin Comaniciu , Arun Krishnan
IPC分类号： G06T5/00 , A61B5/05
CPC分类号： G06T7/11 , G06T2207/10081 , G06T2207/30064
摘要： A method for determining a volume of interest in data includes determining fixed-bandwidth estimations of a plurality of analysis bandwidths, wherein the estimation of the fixed-bandwidth comprises, providing an estimate of a mode location of the volume of interest in the data, and determining a covariance of the volume of interest using a local Hessian matrix. The method further includes determining the volume of interest as a most stable fixed-bandwidth estimation across each of the plurality of analysis bandwidths.
摘要翻译：一种用于确定数据中的感兴趣体积的方法包括：确定多个分析带宽的固定带宽估计，其中固定带宽的估计包括：提供数据中感兴趣体积的模式位置的估计，以及使用局部Hessian矩阵确定感兴趣体积的协方差。该方法还包括将感兴趣的体积确定为跨越多个分析带宽中的每一个的最稳定的固定带宽估计。

50. 发明申请

US20050058338A1 Incorporating spatial knowledge for classification 有权
标题翻译：结合空间知识进行分类
公开(公告)号：US20050058338A1
公开(公告)日：2005-03-17
申请号：US10915076
申请日：2004-08-10
申请人： Arun Krishnan , Glenn Fung , Jonathan Stoeckel
发明人： Arun Krishnan , Glenn Fung , Jonathan Stoeckel
IPC分类号： G06F19/00 , G06K9/00 , G06K9/62 , G06K9/68 , G06T7/00
CPC分类号： G06T7/0012 , G06K9/6807 , G06T2207/10072 , G06T2207/20012 , G06T2207/30064
摘要： We propose using different classifiers based on the spatial location of the object. The intuitive idea behind this approach is that several classifiers may learn local concepts better than a “universal” classifier that covers the whole feature space. The use of local classifiers ensures that the objects of a particular class have a higher degree of resemblance within that particular class. The use of local classifiers also results in memory, storage and performance improvements, especially when the classifier is kernel-based. As used herein, the term “kernel-based classifier” refers to a classifier where a mapping function (i.e., the kernel) has been used to map the original training data to a higher dimensional space where the classification task may be easier.
摘要翻译：我们建议基于对象的空间位置使用不同的分类器。这种方法背后的直观思想是，几个分类器可以比涵盖整个特征空间的“通用”分类器更好地学习局部概念。使用本地分类器确保特定类的对象在该特定类中具有更高程度的相似度。使用本地分类器也会导致内存，存储和性能改进，特别是当分类器是基于内核的时候。如本文所使用的，术语“基于内核的分类器”是指其中已经使用映射函数（即，内核）将原始训练数据映射到更高维度空间的分类器，其中分类任务可以更容易。

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