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    Retrieving and viewing medical images
    1.
    发明授权
    Retrieving and viewing medical images 有权
    检索和查看医学图像

    公开(公告)号：US09390236B2

    公开(公告)日：2016-07-12

    申请号：US13320956

    申请日：2010-05-17

    Applicant: Dieter Geller ,  Reinhard Kneser ,  Yuechen Qian

    Inventor： Dieter Geller ,  Reinhard Kneser ,  Yuechen Qian

    IPC: G06F17/30 ,  G06F19/00

    CPC classification number: G06F19/3487 ,  G06F19/00 ,  G06F19/321 ,  G06F19/324 ,  G16H15/00

    Abstract: As medical imaging becomes more affordable, and the diversity of diagnostic modalities and therapeutic treatments increase, the amount of data being stored increases, and the problem becomes even more critical. One approach to improve retrieval efficiency of images is to employ semantics to establish a defined set of search and classification terms. However, such semantic systems still require the user to make a selection of the most appropriate term or terms to classify a report or image, and the accuracy of the results are thus dependent on the skill and knowledge of the classifier. According to a first aspect of the invention, a retriever is provided for retrieving a medical image having a searchable attribute, the retriever being configured to interface with a semantic database and an image database, and wherein the searchable attribute is determined by segmenting the medical image, using the anatomical model.

    Abstract translation: 随着医学成像变得更加实惠，并且诊断模式和治疗方法的多样性增加，存储的数据量增加，并且问题变得更加重要。 提高图像检索效率的一种方法是采用语义来建立一组定义的搜索和分类术语。 然而，这样的语义系统仍然需要用户选择最合适的术语或术语来分类报告或图像，并且结果的准确性因此取决于分类器的技能和知识。 根据本发明的第一方面，提供了一种用于检索具有可搜索属性的医学图像的检索器，所述检索器被配置为与语义数据库和图像数据库进行接口，并且其中通过分割医学图像来确定可搜索属性 ，使用解剖模型。

    Face Annotation In Streaming Video
    2.
    发明申请
    Face Annotation In Streaming Video 审中-公开
    流媒体视频中的脸部注释

    公开(公告)号：US20080235724A1

    公开(公告)日：2008-09-25

    申请号：US12088001

    申请日：2006-09-19

    Applicant: Frank Sassenscheidt ,  Christian Benien ,  Reinhard Kneser

    Inventor： Frank Sassenscheidt ,  Christian Benien ,  Reinhard Kneser

    IPC: H04N9/81

    CPC classification number: G06F16/784

    Abstract: The invention relates to a system (5, 15) and a method for detecting and annotating faces on-the-fly in video data. The annotation (29) is performed by modifying the pixel content of the video and is thereby independent of file types, protocols and standards. The invention can also perform real-time face-recognition by comparing detected faces with known faces from storage, so that the annotation can contain personal information (38) relating to the face. The invention can be applied at either end of a transmission channel and is particularly applicable in videoconferences, Internet classrooms, etc.

    Abstract translation: 本发明涉及一种用于在视频数据中动态检测和注释面部的系统（5,15）和方法。 通过修改视频的像素内容来执行注释（29），由此独立于文件类型，协议和标准。 本发明还可以通过将检测到的面部与存储器中的已知面部进行比较来执行实时面部识别，使得注释可以包含与脸部有关的个人信息（38）。 本发明可应用于传输通道的任一端，特别适用于视频会议，互联网教室等。

    Speech recognition method with language model adaptation
    5.
    发明授权
    Speech recognition method with language model adaptation 失效
    语言识别方法与语言模型适应

    公开(公告)号：US6157912A

    公开(公告)日：2000-12-05

    申请号：US033202

    申请日：1998-03-02

    Applicant: Reinhard Kneser ,  Jochen Peters ,  Dietrich Klakow

    Inventor： Reinhard Kneser ,  Jochen Peters ,  Dietrich Klakow

    IPC: G10L15/065 ,  G10L15/183 ,  G10L9/00

    CPC classification number: G10L15/065 ,  G10L15/183

    Abstract: Language models which take into account the probabilities of word sequences are used in speech recognition, in particular in the recognition of fluently spoken language with a wide vocabulary, in order to increase the recognition reliability. These models are obtained from comparatively large quantities of text and accordingly represent values which were averaged over several texts. This means, however, that the language model is not well adapted to peculiarities of a special text. To achieve such an adaptation of a given language model to a special text on the basis of only a short text fragment, according to the invention, it is suggested that first the unigram language model is adapted with the short text and, in dependence thereon, the M-gram language model is subsequently adapted. A method is described for adapting the unigram language model values which automatically carries out a subdivision of the words into semantic classes.

    Abstract translation: 考虑到词序概率的语言模型用于语音识别，特别是在识别具有较宽词汇的流畅语言的情况下，以增加识别的可靠性。 这些模型是从相对大量的文本中获得的，因此代表在几个文本中平均的值。 然而，这意味着语言模型不能很好地适应特殊文本的特殊性。 为了根据本发明，将特定语言模型的特定语言模型适应于特殊文本，根据本发明，建议首先将单词语言模型与短文本进行匹配，并且依赖于该文本， 随后调整了M-gram语言模型。 描述了一种用于适应单字语言模型值的方法，其自动地将单词的细分实现为语义类。

    Identifying individual sub-regions of the cardiovascular system for calcium scoring
    7.
    发明授权
    Identifying individual sub-regions of the cardiovascular system for calcium scoring 有权
    识别心血管系统的个别次区域进行钙评分

    公开(公告)号：US09317919B2

    公开(公告)日：2016-04-19

    申请号：US13884617

    申请日：2011-11-09

    Applicant: Irina Waechter-Stehle ,  Reinhard Kneser ,  Juergen Weese

    Inventor： Irina Waechter-Stehle ,  Reinhard Kneser ,  Juergen Weese

    IPC: G06K9/00 ,  A61B5/04 ,  G06T7/00 ,  A61B6/00 ,  A61B6/03

    CPC classification number: G06T7/0014 ,  A61B6/032 ,  A61B6/463 ,  A61B6/466 ,  A61B6/503 ,  A61B6/504 ,  A61B6/5217 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10081 ,  G06T2207/30048 ,  G06T2207/30101

    Abstract: A method includes identifying a plurality of different anatomical sub-regions of the cardiovascular system of a subject in image data of the subject based on a subject specific cardiovascular anatomical model, wherein the plurality of different regions corresponds to regions where calcifications occur, searching for and identifying calcifications in the sub-regions based on voxel grey value intensity values of the image data, and generating a signal indicative of one or more regions of voxels of the image data respectively corresponding to sub-regions including identified calcifications. A computing system (118) includes a processor that automatically determines a plurality of different groups of voxels of image data of a subject, wherein each group of voxels corresponds to a different sub-region of the cardiovascular system of the subject and each group of voxels corresponds to a region that includes a calcification identified in the image data.

    Abstract translation: 一种方法包括基于主题特异性心血管解剖模型来识别对象的图像数据中的受试者的心血管系统的多个不同解剖子区域，其中所述多个不同区域对应于发生钙化的区域，搜索和 基于图像数据的体素灰度值强度值来识别子区域中的钙化，以及生成指示分别对应于包括识别的钙化的子区域的图像数据的一个或多个体素的区域的信号。 计算系统（118）包括处理器，其自动确定对象的图像数据的多个不同体素组，其中每组体素对应于受试者的心血管系统的不同子区域和每组体素 对应于包括在图像数据中标识的钙化的区域。

    METHOD FOR DETERMINING A PHYSICAL PROPERTY OF AN OBJECT, SYSTEM, COMPUTER READABLE MEDIUM AND PROGRAM ELEMENT
    8.
    发明申请
    METHOD FOR DETERMINING A PHYSICAL PROPERTY OF AN OBJECT, SYSTEM, COMPUTER READABLE MEDIUM AND PROGRAM ELEMENT 有权
    用于确定对象，系统，计算机可读介质和程序元素的物理属性的方法

    公开(公告)号：US20130039554A1

    公开(公告)日：2013-02-14

    申请号：US13642565

    申请日：2011-04-18

    Applicant: Irina Awechter-Stehle ,  Reinhard Kneser ,  Juergen Weese

    Inventor： Irina Awechter-Stehle ,  Reinhard Kneser ,  Juergen Weese

    IPC: G06K9/00

    CPC classification number: G06T7/0012 ,  G06T7/62 ,  G06T2200/04 ,  G06T2207/30101

    Abstract: The invention relates to evaluating medical image information, in particular physical properties of an object (32). When preparing a surgical procedure e.g. a minimally invasive procedure, it may be beneficial to plan the procedure in detail before starting the operation. Thus, obtaining precise information about physical properties of an object (32), e.g. a diameter value (34, 36) of an anatomical structure may be beneficial. Accordingly, a method and a system for determining a physical property (34, 36) of an object (32) is provided, which employs local object context information (38) for determining a local physical property of the object (32).

    Abstract translation: 本发明涉及评估医学图像信息，特别是物体（32）的物理特性。 当准备外科手术，例如 微创程序，在开始手术之前详细规划手术可能是有益的。 因此，获得关于物体（32）的物理性质的精确信息，例如。 解剖结构的直径值（34,36）可能是有益的。 因此，提供了一种用于确定对象（32）的物理属性（34,36）的方法和系统，其使用用于确定对象（32）的本地物理属性的本地对象上下文信息（38）。

    ESTABLISHING A CONTOUR OF A STRUCTURE BASED ON IMAGE INFORMATION
    9.
    发明申请
    ESTABLISHING A CONTOUR OF A STRUCTURE BASED ON IMAGE INFORMATION 审中-公开
    建立基于图像信息的结构轮廓

    公开(公告)号：US20120082354A1

    公开(公告)日：2012-04-05

    申请号：US13377401

    申请日：2010-06-18

    Applicant: Jochen Peters ,  Olivier Ecabert ,  Carsten Meyer ,  Reinhard Kneser ,  Juergen Weese

    Inventor： Jochen Peters ,  Olivier Ecabert ,  Carsten Meyer ,  Reinhard Kneser ,  Juergen Weese

    IPC: G06K9/48 ,  G06K9/00

    CPC classification number: G06T7/149 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/60 ,  G06T7/97 ,  G06T2207/10072 ,  G06T2207/20116 ,  G06T2207/30004

    Abstract: A system for establishing a contour of a structure is disclosed. An initialization subsystem (1) is used for initializing an adaptive mesh representing an approximate contour of the structure, the structure being represented at least partly by a first image, and the structure being represented at least partly by a second image. A deforming subsystem (2) is used for deforming the adaptive mesh, based on feature information of the first image and feature information of the second image. The deforming subsystem comprises a force-establishing subsystem (3) for establishing a force acting on at least part of the adaptive mesh, in dependence on the feature information of the first image and the feature information of the second image. A transform-establishing subsystem (4) is used for establishing a coordinate transform reflecting a registration mismatch between the first image, the second image, and the adaptive mesh.

    Abstract translation: 公开了一种用于建立结构轮廓的系统。 初始化子系统（1）用于初始化表示结构的近似轮廓的自适应网格，该结构至少部分地由第一图像表示，并且该结构至少部分地由第二图像表示。 变形子系统（2）用于基于第一图像的特征信息和第二图像的特征信息来变形自适应网格。 变形子系统包括根据第一图像的特征信息和第二图像的特征信息来建立作用在自适应网格的至少一部分上的力的力建立子系统（3）。 变换建立子系统（4）用于建立反映第一图像，第二图像和自适应网格之间的配准失配的坐标变换。

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