ESTABLISHING A CONTOUR OF A STRUCTURE BASED ON IMAGE INFORMATION
    2.
    发明授权
    ESTABLISHING A CONTOUR OF A STRUCTURE BASED ON IMAGE INFORMATION 有权
    HERSTELLEN EINER KONTUR EINER STRUKTUR AUF DER BASIS VON BILDINFORMATIONEN

    公开(公告)号:EP2446416B1

    公开(公告)日:2014-04-30

    申请号:EP10730237.4

    申请日:2010-06-18

    IPC分类号: G06T7/00

    摘要: 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.

    摘要翻译: 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。

    MODEL-BASED CORONARY CENTERLINE LOCALIZATION

    公开(公告)号:EP2074585B1

    公开(公告)日:2018-07-11

    申请号:EP07826579.0

    申请日:2007-09-28

    摘要: The invention relates to a system (100) for registering a vessel model with an image data set based on a joined model comprising a reference object model and the vessel model, the system comprising: a placement unit (110) for placing the joined model in a space of the image data set, thereby creating a placed joined model comprising a placed reference object model and a placed vessel model; a computation unit (120) for computing a deformation field based on a landmark displacement field comprising displacements of landmarks of the placed reference object model relative to corresponding landmarks in the image data set; a transformation unit (130) for transforming the placed joined model using the deformation field, thereby creating a transformed joined model comprising a transformed reference object model and a transformed vessel model; and a registration unit (140) for registering the transformed vessel model with the image data set based on modifying the transformed vessel model and optimizing an objective function of the modified transformed vessel model, wherein the objective function comprises a location-prior term based on a localization of the modified transformed vessel model relative to the transformed joined model. Hence, the system is arranged to model a vessel taking into account the localization of a vessel model relative to a reference anatomical structure described by a reference model.

    IMAGE REGISTRATION APPARATUS
    5.
    发明公开
    IMAGE REGISTRATION APPARATUS 有权
    图像注册装置

    公开(公告)号:EP2646979A1

    公开(公告)日:2013-10-09

    申请号:EP11796827.1

    申请日:2011-11-24

    IPC分类号: G06T7/00

    摘要: The invention relates to an image registration apparatus for registering a first image and a second image with respect to each other. A model, which has a fixed topology, is adapted to the first image for generating a first adapted model and to the second image for generating a second adapted model,and corresponding image elements (40, 48, 49; 50, 58, 9) are determined in the first image and in the second image based on spatial positions of first image elements in the first image with respect to the first adapted model and spatial positions of second image elements in the second image with respect to the second adapted model. Since the model has a fixed topology, corresponding image elements can relatively reliably be found based on the adapted models, even if the first and second images show objects having complex properties like a heart, thereby improving the registration quality.

    PROGRESSIVE MODEL-BASED ADAPTATION
    7.
    发明公开
    PROGRESSIVE MODEL-BASED ADAPTATION 有权
    渐进式模块式自适应

    公开(公告)号:EP2143072A2

    公开(公告)日:2010-01-13

    申请号:EP08763047.1

    申请日:2008-04-28

    IPC分类号: G06T7/00

    摘要: The invention relates to an adaptation system for adapting a deformable model to an object of interest in an image data set, the system comprising a propagator for propagating a set of predetermined transformation parameters to the model segments that have not yet been activated for adaptation to the image; an activator for activating at least one model segment from the model segments that have not yet been activated for adaptation to the image; and an adapter for adapting the deformable model by optimizing model energy of the deformable model, said model energy comprising internal energy of the plurality of model segments and external energy of at least the latest activated model segment(s). By enabling propagation of the transformation parameters from the model segments that have been adapted to the image to the model segments that have not been adapted to the image, this invention can improve the robustness and flexibility of the adaptation.

    摘要翻译: 本发明涉及一种用于将可变形模型适应于图像数据集中的感兴趣对象的自适应系统,该系统包括传播器,用于将一组预定变换参数传播到尚未被激活以适应于 图片; 用于激活尚未被激活用于适应图像的模型段的至少一个模型段的激活器; 以及用于通过优化所述可变形模型的模型能量来适配所述可变形模型的适配器,所述模型能量包括所述多个模型段的内部能量和至少最近激活的模型段的外部能量。 通过使来自已经适应于图像的模型段的变换参数能够传播到尚未适应于图像的模型段,本发明可以提高适应性的鲁棒性和灵活性。

    A METHOD OF AND A SYSTEM FOR ADAPTING A GEOMETRIC MODEL USING MULTIPLE PARTIAL TRANSFORMATIONS
    8.
    发明授权
    A METHOD OF AND A SYSTEM FOR ADAPTING A GEOMETRIC MODEL USING MULTIPLE PARTIAL TRANSFORMATIONS 有权
    方法和系统几何模型与几个部分TRANSFORMATIONS适应

    公开(公告)号:EP1929444B1

    公开(公告)日:2011-11-16

    申请号:EP06809355.8

    申请日:2006-09-20

    IPC分类号: G06T7/00

    摘要: The invention relates to a method (100) of adapting a geometric model to an image data comprising determining a first partial transformation for mapping a first part of the geometric model into the image data and a second partial transformation for mapping a second part of the geometric model into the image data. By determining the first partial transformation of the first part of the geometric model and the second partial transformation of the second part of the geometric model, the geometric model can assume more shapes and therefore can be more accurately adapted to an object comprised in the image data.

    摘要翻译: 本发明涉及一种适应几何模型的图像数据包含确定性挖掘的第一部分变换为所述几何模型的第一部分映射到所述图像数据,并且用于映射几何的第二部分的第二部分变换的方法(100) 建模成的图像数据。 通过确定性挖掘几何模型和所述几何模型的第二部分的第二部分变换的所述第一部分的所述第一部分转变,几何模型可以假设更多的形状,因此可更精确地设定angepasst中的图像数据为对象包括 ,

    MODEL-BASED CORONARY CENTERLINE LOCALIZATION
    9.
    发明公开
    MODEL-BASED CORONARY CENTERLINE LOCALIZATION 有权
    MODELLBASIERTE ORTUNG DER KORONAREN ZENTRALLINIE

    公开(公告)号:EP2074585A2

    公开(公告)日:2009-07-01

    申请号:EP07826579.0

    申请日:2007-09-28

    IPC分类号: G06T5/00

    摘要: The invention relates to a system (100) for registering a vessel model with an image data set based on a joined model comprising a reference object model and the vessel model, the system comprising: a placement unit (110) for placing the joined model in a space of the image data set, thereby creating a placed joined model comprising a placed reference object model and a placed vessel model; a computation unit (120) for computing a deformation field based on a landmark displacement field comprising displacements of landmarks of the placed reference object model relative to corresponding landmarks in the image data set; a transformation unit (130) for transforming the placed joined model using the deformation field, thereby creating a transformed joined model comprising a transformed reference object model and a transformed vessel model; and a registration unit (140) for registering the transformed vessel model with the image data set based on modifying the transformed vessel model and optimizing an objective function of the modified transformed vessel model, wherein the objective function comprises a location-prior term based on a localization of the modified transformed vessel model relative to the transformed joined model. Hence, the system is arranged to model a vessel taking into account the localization of a vessel model relative to a reference anatomical structure described by a reference model.

    摘要翻译: 本发明涉及一种用于根据包括参考对象模型和血管模型的联合模型将血管模型注册到图像数据集的系统(100),该系统包括:一个放置单元(110),用于将连接的模型放置在 图像数据集合的空间,从而创建包括放置的参考对象模型和放置的容器模型的放置的连接模型; 计算单元(120),用于基于地标位移场计算变形场,所述地标位移场包括相对于所述图像数据集中的对应界标放置的参考对象模型的界标的位移; 变换单元(130),用于使用变形场变换放置的接合模型,从而创建包括变换的参考对象模型和变换的容器模型的变换的连接模型; 以及注册单元(140),用于基于修改所述经变换的血管模型并优化所述经修改的经转化的血管模型的目标函数,将所述转化的血管模型与所述图像数据集进行登记,其中所述目标函数包括基于 修改的转化血管模型相对于转化的连接模型的定位。 因此,该系统被设置成考虑到血管模型相对于由参考模型描述的参考解剖结构的定位来建模血管。

    TOPIC SPECIFIC MODELS FOR TEXT FORMATTING AND SPEECH RECOGNITION
    10.
    发明公开
    TOPIC SPECIFIC MODELS FOR TEXT FORMATTING AND SPEECH RECOGNITION 有权
    议题的具体型号为文本格式和语音识别

    公开(公告)号:EP1687807A2

    公开(公告)日:2006-08-09

    申请号:EP04799133.6

    申请日:2004-11-12

    摘要: The present invention relates to a method, a computer system and a computer program product for speech recognition and/or text formatting by making use of topic specific statistical models. A text document which may be obtained from a first speech recognition pass is subject to segmentation and to an assignment of topic specific models for each obtained section. Each model of the set of models provides statistic information about language model probabilities, about text processing or formatting rules, as e.g. the interpretation of commands for punctuation, formatting, text highlighting or of ambiguous text portions requiring specific formatting, as well as a specific vocabulary being characteristic for each section of the recognized text. Furthermore, other properties of a speech recognition and/or formatting system (such as e.g. settings for the speaking rate) may be encoded in the statistical models. The models themselves are generated on the basis of annotated training data and/or by manual coding. Based on the assignment of models to sections of text an improved speech recognition and/or text formatting procedure is performed.