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1. 发明申请

US20120191720A1 RETRIEVING RADIOLOGICAL STUDIES USING AN IMAGE-BASED QUERY 审中-公开
标题翻译：使用基于图像的查询检索放射学研究
公开(公告)号：US20120191720A1
公开(公告)日：2012-07-26
申请号：US13499424
申请日：2010-09-17
申请人： Merlijn Sevenster , Yuechen Qian , Robbert Christiaan Van Ommering , Reinhard Kneser , Dieter Geller
发明人： Merlijn Sevenster , Yuechen Qian , Robbert Christiaan Van Ommering , Reinhard Kneser , Dieter Geller
IPC分类号： G06F17/30
CPC分类号： G06F19/321
摘要： The invention relates to a system (100) for identifying a document of a plurality of documents, based on a multidimensional image, the system (100) comprising an object unit (110) for identifying an object represented in the multidimensional image, based on a user input indicating a region of the multidimensional image, and further based on a model for modeling the object, determined by segmentation of the indicated region of the multidimensional image; a keyword unit (120) for identifying a keyword of a plurality of keywords, related to the identified object, based on an annotation of the model for modeling the object; and a document unit (130) for identifying the document of the plurality of documents, based on the identified keyword. Thus, the system advantageously facilitates a user's access to documents comprising information of interest based on a viewed multidimensional image. The document may be identified by its name or, preferably, by a link to the document. By following the link, the system may be further adapted to allow the user to retrieve the document stored in a storage comprising the plurality of documents, e.g. download a file comprising the document, and view the document on a display.
摘要翻译：本发明涉及一种用于基于多维图像来识别多个文档的文档的系统（100），所述系统（100）包括用于基于多维图像识别所述多维图像中表示的对象的对象单元（110）用户输入指示多维图像的区域，并且还基于通过多维图像的指示区域的分割确定的用于建模对象的模型; 用于基于用于建模对象的模型的注释来识别与所识别的对象相关的多个关键字的关键字的关键词单元（120）; 以及用于基于所识别的关键字来识别所述多个文档的文档的文档单元（130）。因此，该系统有利地促进用户基于所观看的多维图像来访问包括感兴趣的信息的文档。该文件可以由其名称或优选地通过文档的链接来标识。通过跟随链接，系统可以进一步适于允许用户检索存储在包括多个文档的存储器中的文档，例如，下载包含文档的文件，并在显示器上查看文档。

2. 发明授权

US09042629B2 Image classification based on image segmentation 有权
标题翻译：基于图像分割的图像分类
公开(公告)号：US09042629B2
公开(公告)日：2015-05-26
申请号：US12992190
申请日：2009-05-08
申请人： Yuechen Qian , Dieter Geller , Reinhard Kneser , Merlijn Sevenster , Robbert C. Van Ommering , Paola K. Tulipano
发明人： Yuechen Qian , Dieter Geller , Reinhard Kneser , Merlijn Sevenster , Robbert C. Van Ommering , Paola K. Tulipano
IPC分类号： G06K9/00 , G06K9/62 , G06T7/00
CPC分类号： G06K9/6267 , G06K2209/05 , G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/10072 , G06T2207/30041
摘要： The invention relates to a system (100) for classifying image data on the basis of a model for adapting to an object in the image data, the system comprising a segmentation unit (110) for segmenting the image data by adapting the model to the object in the image data and a classification unit (120) for assigning a class to the image data on the basis of the model adapted to the object in the image data, thereby classifying the image data, wherein the classification unit (120) comprises an attribute unit (122) for computing a value of an attribute of the model on the basis of the model adapted to the object in the image data, and wherein the assigned class is based on the computed value of the attribute. Thus, the system (100) of the invention is capable of classifying the image data without any user input. All inputs required for classifying the image data 10 constitute a model for adapting to an object in the image data. A person skilled in the art will understand however that in some embodiments of the system (100), a limited number of user inputs may be enabled to let the user influence and control the system and the classification process.
摘要翻译：本发明涉及一种用于基于用于适应图像数据中的对象的模型对图像数据进行分类的系统（100），该系统包括分割单元（110），用于通过将模型适配到对象来分割图像数据在所述图像数据中，以及分类单元（120），用于基于所述图像数据中适合于所述对象的模型，将类别分配给所述图像数据，从而对所述图像数据进行分类，其中所述分类单元（120）包括属性单元（122），用于基于适于图像数据中的对象的模型来计算模型的属性的值，并且其中所分配的类基于所计算的属性值。因此，本发明的系统（100）能够对没有任何用户输入的图像数据进行分类。分类图像数据10所需的所有输入构成用于适应图像数据中的对象的模型。然而，本领域技术人员将理解，在系统（100）的一些实施例中，可以使有限数量的用户输入能够使用户影响和控制系统和分类过程。

3. 发明申请

US20110222747A1 IMAGE CLASSIFICATION BASED ON IMAGE SEGMENTATION 有权
标题翻译：基于图像分割的图像分类
公开(公告)号：US20110222747A1
公开(公告)日：2011-09-15
申请号：US12992190
申请日：2009-05-08
申请人： Yuechen Qian , Dieter Geller , Reinhard Kneser , Merlijn Sevenster , Robbert C. Van Ommering , Paola K. Tulipano
发明人： Yuechen Qian , Dieter Geller , Reinhard Kneser , Merlijn Sevenster , Robbert C. Van Ommering , Paola K. Tulipano
IPC分类号： G06K9/00
CPC分类号： G06K9/6267 , G06K2209/05 , G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/10072 , G06T2207/30041
摘要： The invention relates to a system (100) for classifying image data on the basis of a model for adapting to an object in the image data, the system comprising a segmentation unit (110) for segmenting the image data by adapting the model to the object in the image data and a classification unit (120) for assigning a class to the image data on the basis of the model adapted to the object in the image data, thereby classifying the image data, wherein the classification unit (120) comprises an attribute unit (122) for computing a value of an attribute of the model on the basis of the model adapted to the object in the image data, and wherein the assigned class is based on the computed value of the attribute. Thus, the system (100) of the invention is capable of classifying the image data without any user input. All inputs required for classifying the image data 10 constitute a model for adapting to an object in the image data. A person skilled in the art will understand however that in some embodiments of the system (100), a limited number of user inputs may be enabled to let the user influence and control the system and the classification process.
摘要翻译：本发明涉及一种用于基于用于适应图像数据中的对象的模型对图像数据进行分类的系统（100），所述系统包括分割单元（110），用于通过将模型适配到对象来分割图像数据在所述图像数据中，以及分类单元（120），用于基于所述图像数据中适合于所述对象的模型，将类别分配给所述图像数据，从而对所述图像数据进行分类，其中所述分类单元（120）包括属性单元（122），用于基于适于图像数据中的对象的模型来计算模型的属性的值，并且其中所分配的类基于所计算的属性值。因此，本发明的系统（100）能够对没有任何用户输入的图像数据进行分类。分类图像数据10所需的所有输入构成用于适应图像数据中的对象的模型。然而，本领域技术人员将理解，在系统（100）的一些实施例中，可以使有限数量的用户输入能够使用户影响和控制系统和分类过程。

4. 发明授权

US09390236B2 Retrieving and viewing medical images 有权
标题翻译：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
申请人： Dieter Geller , Reinhard Kneser , Yuechen Qian
发明人： Dieter Geller , Reinhard Kneser , Yuechen Qian
IPC分类号： G06F17/30 , G06F19/00
CPC分类号： G06F19/3487 , G06F19/00 , G06F19/321 , G06F19/324 , G16H15/00
摘要： 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.
摘要翻译：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。

5. 发明申请

US20130066189A1 NORMATIVE DATASET FOR NEUROPSYCHIATRIC DISORDERS 审中-公开
标题翻译：神经病学病例的正常数据
公开(公告)号：US20130066189A1
公开(公告)日：2013-03-14
申请号：US13580390
申请日：2011-02-02
申请人： Lyubomir Georgiev Zagorchev , Reinhard Kneser , Dieter Geller , Yuechen Qian , Juergen Weese , Matthew A. Garlinghouse , Robert M. Roth , Thomas W. McAllister
发明人： Lyubomir Georgiev Zagorchev , Reinhard Kneser , Dieter Geller , Yuechen Qian , Juergen Weese , Matthew A. Garlinghouse , Robert M. Roth , Thomas W. McAllister
IPC分类号： A61B6/00
CPC分类号： G06T7/0012 , G06T2207/10081 , G06T2207/10132 , G06T2207/30016
摘要： A system and method for identifying an abnormality of an anatomical structure. The system and method segments, using a processor, the anatomical structure imaged in a volumetric image of a plurality of control patients to produce a control segmentation of the anatomical structures of each of the control patients, obtains a normative dataset by extracting a statistical representation of a morphology of the control segmentations, segments the anatomical structure of a patient being analyzed for abnormalities to produce a patient segmentation and compares the patient segmentation to the normative dataset obtained from the control segmentations.
摘要翻译：用于识别解剖结构异常的系统和方法。使用处理器的系统和方法段在多个控制患者的体积图像中成像的解剖结构以产生每个控制患者的解剖结构的控制分割，通过提取规范数据集来提取统计学表示控制分割的形态，分割被分析异常的患者的解剖结构以产生患者分割，并将患者分割与从控制分割获得的规范数据集进行比较。

6. 发明申请

US20120327075A1 SYSTEM FOR RAPID AND ACCURATE QUANTITATIVE ASSESSMENT OF TRAUMATIC BRAIN INJURY 有权
标题翻译：快速和精确定量评估TRAUMATIC脑损伤系统
公开(公告)号：US20120327075A1
公开(公告)日：2012-12-27
申请号：US13514713
申请日：2010-11-17
申请人： Lyubomir Georgiev Zagorchev , Elizabeth Anne Morre , Matthew A. Garlinghouse , Robert M. Roth , Thomas W. McAllister , Reinhard Kneser , Dieter Geller , Jochen Peters , Juergen Weese , Yuechen Qian
发明人： Lyubomir Georgiev Zagorchev , Elizabeth Anne Morre , Matthew A. Garlinghouse , Robert M. Roth , Thomas W. McAllister , Reinhard Kneser , Dieter Geller , Jochen Peters , Juergen Weese , Yuechen Qian
IPC分类号： G06T7/00
CPC分类号： G06T7/0089 , G06T7/0012 , G06T7/149 , G06T2200/24 , G06T2207/10081 , G06T2207/30016
摘要： A system and method for automatic segmentation, performed by selecting a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges, displaying the deformable model on a display, detecting a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons and adapting the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.
摘要翻译：一种用于自动分割的系统和方法，通过选择在体积图像中成像的感兴趣的解剖结构的可变形模型来执行，所述可变形模型由包括顶点和边缘的多个多边形形成，在显示器上显示可变形模型，感兴趣的解剖结构的特征点对应于多个多边形中的每一个，并且通过将每个顶点朝向对应的特征点移动来适配可变形模型，直到可变形模型变形为感兴趣的解剖结构的边界，形成分割的感兴趣的解剖结构。

7. 发明申请

US20120066241A1 RETRIEVING AND VIEWING MEDICAL IMAGES 有权
标题翻译：检索和查看医学图像
公开(公告)号：US20120066241A1
公开(公告)日：2012-03-15
申请号：US13320956
申请日：2010-05-17
申请人： Dieter Geller , Reinhard Kneser , Yuechen Qian
发明人： Dieter Geller , Reinhard Kneser , Yuechen Qian
IPC分类号： G06F17/30
CPC分类号： G06F19/3487 , G06F19/00 , G06F19/321 , G06F19/324 , G16H15/00
摘要： 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.
摘要翻译：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。

8. 发明授权

US09256951B2 System for rapid and accurate quantitative assessment of traumatic brain injury 有权
标题翻译：快速准确地定量评估创伤性脑损伤的系统
公开(公告)号：US09256951B2
公开(公告)日：2016-02-09
申请号：US13514713
申请日：2010-11-17
申请人： Lyubomir Georgiev Zagorchev , Elizabeth Anne Morre , Matthew A. Garlinghouse , Robert M. Roth , Thomas W. McAllister , Dieter Geller , Jochen Peters , Juergen Weese , Yuechen Qian
发明人： Lyubomir Georgiev Zagorchev , Elizabeth Anne Morre , Matthew A. Garlinghouse , Robert M. Roth , Thomas W. McAllister , Reinhard Kneser , Dieter Geller , Jochen Peters , Juergen Weese , Yuechen Qian
IPC分类号： G06T7/00 , G06T17/30 , G06T19/20
CPC分类号： G06T7/0089 , G06T7/0012 , G06T7/149 , G06T2200/24 , G06T2207/10081 , G06T2207/30016
摘要： A system and method for automatic segmentation, performed by selecting a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges, displaying the deformable model on a display, detecting a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons and adapting the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.
摘要翻译：一种用于自动分割的系统和方法，通过选择在体积图像中成像的感兴趣的解剖结构的可变形模型来执行，所述可变形模型由包括顶点和边缘的多个多边形形成，在显示器上显示可变形模型，感兴趣的解剖结构的特征点对应于多个多边形中的每一个，并且通过将每个顶点朝向对应的特征点移动来适配可变形模型，直到可变形模型变形为感兴趣的解剖结构的边界，形成分割的感兴趣的解剖结构。

9. 发明申请

US20080235724A1 Face Annotation In Streaming Video 审中-公开
标题翻译：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
申请人： Frank Sassenscheidt , Christian Benien , Reinhard Kneser
发明人： Frank Sassenscheidt , Christian Benien , Reinhard Kneser
IPC分类号： H04N9/81
CPC分类号： G06F16/784
摘要： 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.
摘要翻译：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。

10. 发明授权

US09786281B1 Household agent learning 有权
公开(公告)号：US09786281B1
公开(公告)日：2017-10-10
申请号：US13565725
申请日：2012-08-02
申请人： Jeffrey P. Adams , Stan W. Salvador , Reinhard Kneser
发明人： Jeffrey P. Adams , Stan W. Salvador , Reinhard Kneser
IPC分类号： G10L21/06 , G10L15/22 , G10L15/26 , G10L15/08 , G10L19/12 , G10L15/20
CPC分类号： G10L15/26 , G10L15/22 , G10L15/265 , G10L17/00
摘要： A user profile for a plurality of users may be built for speech recognition purposes and for acting as an agent of the user. In some embodiments, a speech processing device automatically receives an utterance from a user. The utterance may be analyzed using signal processing to identify data associated with the user. The utterance may also be analyzed using speech recognition to identify additional data associated with the user. The identified data may be stored in a profile of the user. Data in the user profile may be used to select an acoustic model and/or a language model for speech recognition or to take actions on behalf of the user.

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