1.
    发明专利
    未知

    公开(公告)号:DE602004005428D1

    公开(公告)日:2007-05-03

    申请号:DE602004005428

    申请日:2004-02-09

    Abstract: Quantification of metric or functional parameters often requires image segmentation. A crucial part of such method is the model of the surface characteristics of the object of interest (features), which drives the deformable surface towards the object boundary in the image. According to the present invention, sections of the mesh are assigned to different classes for different features. According to the present invention, the assignment of mesh sections to the classes is adapted by using actual feature information from the unseen image. Advantageously, this allows for an adaptation of the feature category to which the mesh section is assigned and thereby allows an improved segmentation of the object.

    2.
    发明专利
    未知

    公开(公告)号:DE602004005428T2

    公开(公告)日:2007-11-29

    申请号:DE602004005428

    申请日:2004-02-09

    Abstract: Quantification of metric or functional parameters often requires image segmentation. A crucial part of such method is the model of the surface characteristics of the object of interest (features), which drives the deformable surface towards the object boundary in the image. According to the present invention, sections of the mesh are assigned to different classes for different features. According to the present invention, the assignment of mesh sections to the classes is adapted by using actual feature information from the unseen image. Advantageously, this allows for an adaptation of the feature category to which the mesh section is assigned and thereby allows an improved segmentation of the object.

    REDUCTION OF HEART MOTION ARTIFACTS IN THORACIC CT IMAGING
    3.
    发明申请
    REDUCTION OF HEART MOTION ARTIFACTS IN THORACIC CT IMAGING 审中-公开
    胸部CT成像中心脏运动伪影的减少

    公开(公告)号:WO2008026141A3

    公开(公告)日:2008-12-04

    申请号:PCT/IB2007053403

    申请日:2007-08-27

    Abstract: The invention relates to a system (100) for adapting a plurality of model meshes to a plurality of image data, the system comprising a registration unit (110) for registering the plurality of model meshes with the plurality of image data on the basis of a computation of a registration transformation for transforming the plurality of model meshes, and an adaptation unit (120) for adapting the plurality of registered model meshes to the plurality of image data on the basis of a computation of locations of mesh vertices of the plurality of model meshes. The system (100) may further comprise a computing unit (130) for computing sparse vector fields comprising vectors of displacements of vertices of the adapted model meshes, an approximation unit (140) for computing dense vector fields on the basis of the sparse vector fields, a merge unit (150) for merging image data sets by means of the computed dense vector fields, and a reconstruction unit (155) for reconstructing a motion-compensated image data from the computed dense vector fields. The described system (100) is capable of reducing motion artifacts in tomographic images computed from data acquired at a plurality of different cardiac cycle phases.

    Abstract translation: 本发明涉及一种用于使多个模型网格适应多个图像数据的系统(100),所述系统包括配准单元(110),用于基于所述多个图像数据将所述多个模型网格注册到所述多个图像数据 计算用于变换所述多个模型网格的配准变换;以及适配单元(120),用于基于所述多个模型的网格顶点的位置的计算来适配所述多个配准模型网格至所述多个图像数据 网格。 所述系统(100)还可以包括用于计算稀疏矢量场的计算单元(130),所述稀疏矢量场包括所述自适应模型网格的顶点的位移矢量,用于基于所述稀疏矢量场计算密集矢量场的近似单元(140) ,用于借助所计算的密集矢量场合并图像数据组的融合单元(150)以及用于从所计算的密集矢量场中重建运动补偿图像数据的重建单元(155)。 所描述的系统(100)能够减少从在多个不同的心动周期阶段获取的数据计算的断层摄影图像中的运动伪影。

    MULTI-SURFACE MODELLING
    4.
    发明申请
    MULTI-SURFACE MODELLING 审中-公开
    多表面建模

    公开(公告)号:WO2006117719A2

    公开(公告)日:2006-11-09

    申请号:PCT/IB2006051284

    申请日:2006-04-25

    CPC classification number: G06T17/20

    Abstract: Modelling of organ surfaces is a well-established method that may serve in computer-supported teaching, but also in image-based medical diagnosis and in clinical interventions. According to an exemplary embodiment of the present invention, a method of constructing a multi-surface model from a multi-dimensional dataset of an object of interest is provided, which combines single basic two-dimensional manifold surface meshes, resulting in a multi-surface model. According to an aspect of the present invention, this resulting model may be a non-two-dimensional manifold mesh.

    Abstract translation: 器官表面的建模是一种既定的方法,可用于计算机支持的教学,也可用于基于图像的医学诊断和临床干预。 根据本发明的示例性实施例,提供了一种从感兴趣对象的多维数据集构建多表面模型的方法,其结合单个基本二维歧管表面网格,导致多表面 模型。 根据本发明的一个方面,所得到的模型可以是非二维歧管网。

    PREDICTING USER INTERACTIONS DURING IMAGE PROCESSING
    5.
    发明申请
    PREDICTING USER INTERACTIONS DURING IMAGE PROCESSING 审中-公开
    在图像处理期间预测用户交互

    公开(公告)号:WO2010084435A3

    公开(公告)日:2010-09-16

    申请号:PCT/IB2010050123

    申请日:2010-01-13

    CPC classification number: G06N5/048 G06K9/00335 G06N7/005 G06N99/005

    Abstract: The invention relates to an apparatus for processing images by means of a series of user interactions. When processing an image, the user follows a series of interactions. Preferably, this is standardized to ensure reproducibility and accuracy. However, the series of interactions required from the user may be dependent on the needs of the user, the image being processed or even on the preferences of the user. The invention provides an apparatus which can deal with complex image processing requirements, providing both a standardized series of steps, or trail, in the image visualization process, and allowing the user to deviate from this standard trail if required. This accelerates and simplifies the interaction necessary when the user performs a known task on a different image. It also provides valuable assistance when the user performs an unfamiliar task, thereby avoiding mistakes, such as incorrect radiation levels during image acquisition, which can have serious consequences in a medical imaging environment.

    Abstract translation: 本发明涉及一种借助于一系列用户交互来处理图像的装置。 当处理图像时,用户会遵循一系列交互。 优选地,这被标准化以确保重现性和准确性。 然而,用户所需的一系列交互可能取决于用户的需求,正在处理的图像,甚至取决于用户的偏好。 本发明提供了一种能够处理复杂图像处理要求,在图像可视化过程中同时提供标准化的一系列步骤或轨迹的装置,并且如果需要,允许用户偏离该标准轨迹。 当用户在不同的图像上执行已知任务时,这加速并简化了必要的交互。 当用户执行不熟悉的任务时,它还提供有价值的帮助,从而避免错误,例如在图像采集期间不正确的辐射水平,这可能在医学成像环境中产生严重的后果。

    COMPUTER-AIDED DETECTION (CAD) OF A DISEASE
    6.
    发明申请
    COMPUTER-AIDED DETECTION (CAD) OF A DISEASE 审中-公开
    疾病的计算机辅助检测(CAD)

    公开(公告)号:WO2009063363A3

    公开(公告)日:2009-07-30

    申请号:PCT/IB2008054632

    申请日:2008-11-06

    Abstract: The present invention relates to a method for performing computer-aided detection (CAD) of a disease, e.g. lung tumours, on a medical image data set (20) from a imaging modality, such as MRI or CT. Initially, there is perform a segmentation of the medical image data set (20) using an anatomical model. Secondly, the segmented data is analyzed for characteristics of the disease resulting in a set of analysis data (25), and finally the set of analysis data (25) is evaluating with respect to the disease. At least one of these steps comprises as an input a position dependent probability (P_r) for the disease. The invention isadvantageous in that more efficient computations can be performed because the degree ofanalysis in a certain region of the part of the patient, e.g. the lung, can be adjusted or tailored to the level of probability of the disease in the that region. It is thereby possible to increase computational speed and thereby diseases like cancer, in particular cancer nodules in the lungs, can be more effectively found from medical image analysis.

    Abstract translation: 本发明涉及用于执行疾病的计算机辅助检测(CAD)的方法,例如, 肺肿瘤,来自成像模态(例如MRI或CT)的医学图像数据集(20)。 最初,使用解剖模型执行医学图像数据集(20)的分割。 其次,对分割的数据进行分析,得到一组分析数据(25),最后分析数据集(25)正在评估疾病。 这些步骤中的至少一个包括用于疾病的位置依赖概率(P_r)作为输入。 本发明的优点在于,可以进行更有效的计算,因为患者部分的某个区域中的分析程度,例如, 肺,可以根据该区域的疾病概率进行调整或调整。 从而可以增加计算速度,从而可以从医学图像分析中更有效地发现像癌症,特别是肺中的癌症结节之类的疾病。

    CORONARY ARTERY SELECTIVE CALCIUM ASSIGNMENT USING LOW DOSE CALCIUM SCORING SCANS
    7.
    发明申请
    CORONARY ARTERY SELECTIVE CALCIUM ASSIGNMENT USING LOW DOSE CALCIUM SCORING SCANS 审中-公开
    冠状动脉选择性钙分配使用低剂量钙分析扫描

    公开(公告)号:WO2008135946A3

    公开(公告)日:2009-03-12

    申请号:PCT/IB2008051737

    申请日:2008-05-05

    CPC classification number: A61B6/504 A61B6/481 A61B6/503

    Abstract: It is described a method for coronary artery selective calcium assignment by computed tomography, wherein the method comprising the steps of performing a low x-ray dose cardiac calcium scoring scan, obtaining a data set of said cardiac calcium scoring scan, generating reconstructed images from the data set of said cardiac calcium scoring scan, analyzing the reconstructed images for segmented calcium deposits, deriving a data set of calcification from the analysis, wherein a cardiac model is adapted to the reconstructed image such that segmented calcium deposits can be assigned to specific areas of the heart. Further a device (100) for performing a method for coronary artery selective calcium assignment by computed tomography according to the inventive method is described, wherein the device (100) comprises a CT unit (10) for performing a low x-ray dose cardiac calcium scoring scan; an acquisition unit (20) for obtaining a data set of said cardiac calcium scoring scan; a generation unit (30) for generating reconstructed images from the data set of said cardiac calcium scoring scan; an analyzing unit (40) for analyzing the reconstructed images for segmented calcium deposits; a deriving unit (50) for deriving a data set of calcification from the analysis.

    Abstract translation: 描述了通过计算机断层摄影术进行冠状动脉选择性钙分配的方法,其中所述方法包括以下步骤:执行低X射线剂量心脏钙评分扫描,获得所述心脏钙评分扫描的数据集,从 所述心脏钙评分扫描的数据集,分析分割钙沉积物的重建图像,从分析中导出钙化数据集,其中心脏模型适用于重建图像,使得分割的钙沉积物可被分配到 心脏 此外,描述了根据本发明的方法通过计算机断层摄影执行冠状动脉选择性钙分配方法的装置(100),其中所述装置(100)包括用于执行低x射线剂量心脏钙的CT单元(10) 得分扫描; 获取单元(20),用于获取所述心脏钙评分扫描的数据集; 用于从所述心脏钙评分扫描的数据集中产生重建图像的生成单元(30); 分析单元(40),用于分析用于分割的钙沉积物的重建图像; 用于从分析中导出钙化数据集的导出单元(50)。

    IMAGING PROTOCOL UPDATE AND/OR RECOMMENDER
    8.
    发明申请
    IMAGING PROTOCOL UPDATE AND/OR RECOMMENDER 审中-公开
    成像协议更新和/或推荐

    公开(公告)号:WO2012104786A3

    公开(公告)日:2013-03-28

    申请号:PCT/IB2012050446

    申请日:2012-01-31

    CPC classification number: G06F17/30598 G06F19/321 G06F19/325 G16H50/70

    Abstract: A method includes obtaining electronically formatted information about previously performed imaging procedures, classifying the information into groups of protocols based on initially selected protocols for the previously performed imaging procedures and generating data indicative thereof, identifying deviations between the classified information and the corresponding initially selected protocols for the previously performed imaging procedures, and generating a signal indicative of the deviations. A method includes recommending at least one of a plurality of protocols for an imaging procedure based on at least one of a score, a probability, or a pre-determined rule, which is based on extracted medical concepts from patient information and extracted medical concepts from previously imaged patient information, and generating a signal indicative of the recommendation.

    Abstract translation: 一种方法包括获得关于先前执行的成像过程的电子格式化信息,基于对先前执行的成像过程的最初选择的协议将信息分类成协议组,并且生成指示其的数据,识别分类信息与相应的最初选择的协议之间的偏差 先前执行的成像过程,并且产生指示偏差的信号。 一种方法包括基于得分,概率或预定规则中的至少一个推荐用于成像过程的多个协议中的至少一个,其基于来自患者信息的提取的医学概念和来自患者信息的提取的医学概念 先前成像的患者信息,以及产生指示推荐的信号。

    PATIENT SPECIFIC ANATOMICAL SKETCHES FOR MEDICAL REPORTS
    9.
    发明申请
    PATIENT SPECIFIC ANATOMICAL SKETCHES FOR MEDICAL REPORTS 审中-公开
    患者特殊解剖医学报告草图

    公开(公告)号:WO2010035183A3

    公开(公告)日:2012-11-29

    申请号:PCT/IB2009054070

    申请日:2009-09-17

    Abstract: The invention relates to a system (100) for producing a representation of an object in image data, based on a template coupled to a model of the object, the system comprising a model unit for adapting the model to the object in the image data, and a template unit for adapting the template to the adapted model on the basis of the coupling between the template and the model. The template defines a representation of the object which is simpler to interpret than the model. The template may be arranged to emphasize useful features of the object. The template comprises substantially fewer degrees of freedom and thus can be efficiently adapted to the model. Because the template of the invention is coupled to the model, the position, orientation and/or shape of the template is determined by the model adapted to the object in the image data. Hence, the template is adapted to the image data. The adapted template is capable of representing the object and its individual characteristics, e.g., the shape of the object as well as the position and/or orientation of the object with respect to an external reference system defined, e.g., based on the image data.

    Abstract translation: 本发明涉及一种用于基于耦合到对象模型的模板来产生图像数据中的对象的表示的系统(100),该系统包括用于使模型适应图像数据中的对象的模型单元, 以及模板单元,用于基于模板和模型之间的耦合来将模板适配到适配模型。 模板定义了比模型更简单的对象的表示。 模板可以被布置为强调对象的有用特征。 该模板包括基本上更少的自由度,因此可以有效地适应于该模型。 因为本发明的模板耦合到模型,所以模板的位置,取向和/或形状由适于图像数据中的对象的模型确定。 因此,该模板适合图像数据。 适应的模板能够表示对象及其各自的特征,例如对象的形状以及对象相对于例如基于图像数据定义的外部参考系统的位置和/或取向。

    PREDICTION OF CARDIAC SHAPE BY A MOTION MODEL
    10.
    发明申请
    PREDICTION OF CARDIAC SHAPE BY A MOTION MODEL 审中-公开
    通过运动模型预测心脏形状

    公开(公告)号:WO2008004171A3

    公开(公告)日:2009-03-19

    申请号:PCT/IB2007052559

    申请日:2007-07-02

    CPC classification number: G06T7/33 G06T7/20 G06T2207/10072 G06T2207/30048

    Abstract: The invention relates to a system (100) for propagating a model mesh based on a first mean model mesh and on a second mean model mesh, the system comprising: a registration unit (110) for computing a registration transformation for registering the first model mesh with the first mean model mesh; a forward transformation unit (120) for transforming the model mesh into a registered model mesh using the registration transformation; a computation unit (130) for computing a propagation field for propagating the registered model mesh, the propagation field comprising vectors of displacements of vertices of the second mean model mesh relative to respective vertices of the first mean model mesh; a propagation unit (140) for transforming the registered model mesh into the propagated registered model mesh based on applying the vertex displacement vectors comprised in the propagation field to respective vertices of the registered model mesh; and an inverse transformation unit (150) for transforming the propagated registered model mesh into the propagated model mesh using the inverse of the registration transformation, thereby propagating the model mesh. Using the propagation field comprising vectors of displacements of vertices of the second mean model mesh relative to respective vertices of the first mean model mesh improves modeling motion of anatomical shapes. Advantageously, the propagation field of vertex displacement vectors is straightforward to compute and to apply.

    Abstract translation: 本发明涉及一种用于基于第一平均模型网格和第二平均模型网格传播模型网格的系统(100),该系统包括:注册单元(110),用于计算用于注册第一模型网格的注册变换 用第一个平均模型网格; 用于使用所述注册变换将所述模型网格变换为注册模型网格的正向变换单元(120) 计算单元(130),用于计算用于传播所述注册的模型网格的传播场,所述传播场包括相对于所述第一平均模型网格的相应顶点的所述第二平均模型网格的顶点的位移的向量; 传播单元,用于通过将包含在传播场中的顶点位移矢量应用于注册的模型网格的各顶点,将登记的模型网格变换为传播的注册模型网格; 以及逆变换单元(150),用于使用所述配准变换的逆来将所述传播的注册模型网格变换为所述传播的模型网格,从而传播所述模型网格。 使用包括相对于第一平均模型网格的各个顶点的第二平均模型网格的顶点的位移的向量的传播场改进了解剖形状的建模运动。 有利地,顶点位移矢量的传播场是直接计算和应用的。

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