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    • 5. 发明申请
    • ACCESSING MEDICAL IMAGE DATABASES USING MEDICALLY RELEVANT TERMS
    • 使用医疗相关条款获取医学图像数据库
    • US20100293164A1
    • 2010-11-18
    • US12671256
    • 2008-07-25
    • Juergen WeeseHelko LehmannYuechen QianWarner Rudolph Theophile Ten Kate
    • Juergen WeeseHelko LehmannYuechen QianWarner Rudolph Theophile Ten Kate
    • G06F17/30
    • G06F17/30265G06F17/30268G06F19/00G06F19/321G16H30/20
    • The invention relates to a system for accessing a database comprising a plurality of image data sets. The system comprises an acquisition unit for acquiring a query for searching the database for an image data set or an image data subset comprised in an image data set, the query comprising at least one medically relevant term defining search criteria; a determining unit for determining the image data set or the image data subset comprised in the image data set, based on the strength of semantic matches between the at least one medically relevant term and (a) corresponding medical annotation(s) describing the image data set; and a retrieving unit for retrieving the determined image data set or image data subset from the database. By enabling semantic matches between medical annotations describing the image data set and the medically relevant term comprised in the query, this invention enables searching for medical images with high-level medical information that is meaningful for medical diagnosis and treatments.
    • 本发明涉及一种用于访问包括多个图像数据集的数据库的系统。 该系统包括:获取单元,用于获取查询数据库中的图像数据集或图像数据集合中包含的图像数据子集,所述查询包括至少一个定义搜索标准的医学上相关的术语; 基于所述至少一个医学相关术语之间的语义匹配的强度和(a)描述所述图像数据的对应的医学注释来确定包含在所述图像数据集中的图像数据集或所述图像数据子集的确定单元 组; 以及用于从数据库中检索所确定的图像数据集或图像数据子集的检索单元。 通过启用描述图像数据集的医学注释和包含在查询中的医学相关术语之间的语义匹配,本发明使得能够搜索对医学诊断和治疗有意义的高级医疗信息的医学图像。
    • 7. 发明授权
    • Image classification based on image segmentation
    • 基于图像分割的图像分类
    • US09042629B2
    • 2015-05-26
    • US12992190
    • 2009-05-08
    • Yuechen QianDieter GellerReinhard KneserMerlijn SevensterRobbert C. Van OmmeringPaola K. Tulipano
    • Yuechen QianDieter GellerReinhard KneserMerlijn SevensterRobbert C. Van OmmeringPaola K. Tulipano
    • G06K9/00G06K9/62G06T7/00
    • G06K9/6267G06K2209/05G06T7/0012G06T7/12G06T7/149G06T2207/10072G06T2207/30041
    • 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.
    • 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。
    • 8. 发明申请
    • RETRIEVING RADIOLOGICAL STUDIES USING AN IMAGE-BASED QUERY
    • 使用基于图像的查询检索放射学研究
    • US20120191720A1
    • 2012-07-26
    • US13499424
    • 2010-09-17
    • Merlijn SevensterYuechen QianRobbert Christiaan Van OmmeringReinhard KneserDieter Geller
    • Merlijn SevensterYuechen QianRobbert Christiaan Van OmmeringReinhard KneserDieter Geller
    • G06F17/30
    • G06F19/321
    • 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.
    • 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。
    • 9. 发明申请
    • IMAGE CLASSIFICATION BASED ON IMAGE SEGMENTATION
    • 基于图像分割的图像分类
    • US20110222747A1
    • 2011-09-15
    • US12992190
    • 2009-05-08
    • Yuechen QianDieter GellerReinhard KneserMerlijn SevensterRobbert C. Van OmmeringPaola K. Tulipano
    • Yuechen QianDieter GellerReinhard KneserMerlijn SevensterRobbert C. Van OmmeringPaola K. Tulipano
    • G06K9/00
    • G06K9/6267G06K2209/05G06T7/0012G06T7/12G06T7/149G06T2207/10072G06T2207/30041
    • 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.
    • 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。
    • 10. 发明申请
    • GENERATION OF PICTORIAL REPORTING DIAGRAMS OF LESIONS IN ANATOMICAL STRUCTURES
    • 在解剖结构中生成图像报告图
    • US20130275124A1
    • 2013-10-17
    • US13997277
    • 2011-12-16
    • Merlijn SevensterYuechen Qian
    • Merlijn SevensterYuechen Qian
    • G06F17/28
    • G06F17/28G06F17/277G06F17/2785G16H15/00G16H80/00
    • The invention relates to a system (SYS) for automatically extracting a location of an abnormality with respect to an anatomical structure from a report, the system comprising a tokenizer (U10) for tokenizing the report or a part of it, thereby producing a plurality of tokens, and an analyzer (U20) for identifying a semantic structure comprising identified tokens of the plurality of tokens, describing the location of the abnormality with respect to the anatomical structure. Optionally, the system further comprises a mapper (U30) for annotating a diagram representing the anatomical structure, based on the identified semantic structure describing the location of the abnormality with respect to the anatomical structure. Using the system, the location of the abnormality with respect to the anatomical structure can be extracted from each report of the plurality of reports produced over the period of time. The extracted locations may be used by a clinician for diagnostic purposes.
    • 本发明涉及一种用于从报告中自动提取相对于解剖结构的异常位置的系统(SYS),该系统包括用于对报告或其一部分进行标记的标记器(U10),从而产生多个 令牌和分析器(U20),用于识别包括识别的多个令牌的标记的语义结构,描述相对于解剖结构的异常的位置。 可选地,所述系统还包括映射器(U30),用于基于所述识别的语义结构来描述代表所述解剖结构的图,所述语义结构描述所述异常相对于所述解剖结构的位置。 使用该系统,可以从在一段时间内产生的多个报告的每个报告中提取相对于解剖结构的异常的位置。 提取的位置可以由临床医生用于诊断目的。