METHOD AND APPARATUS FOR VISUALISATION OF A TUBULAR STRUCTURE
    31.
    发明申请
    METHOD AND APPARATUS FOR VISUALISATION OF A TUBULAR STRUCTURE 审中-公开
    用于可视化管状结构的方法和装置

    公开(公告)号:WO2005048198A1

    公开(公告)日:2005-05-26

    申请号:PCT/IB2004/052266

    申请日:2004-11-02

    Abstract: The present invention relates to a method and a corresponding apparatus for visualization of a tubular structure of an object by use of a 3D image data set of said object. In order to provide a more efficient and illustrative visualization a method is proposed comprising the steps of: - generating and visualising a curved planar reformation view (C) from a symbolic pathway view (B) of said tubular structure, said symbolic pathway view (B) representing said tubular structure and the pathway points of said symbolic pathway being assigned with their 3D spatial position data, and - generating and visualising at least one planar view (O) of said object (1) through a viewing point (V) of said tubular structure selected in said curved planar reformation view (C) or said symbolic pathway view (B).

    Abstract translation: 本发明涉及一种通过使用所述对象的3D图像数据集可视化对象的管状结构的方法和相应的装置。 为了提供更有效和说明性的可视化,提出了一种方法,其包括以下步骤: - 从所述管状结构的符号通路图(B)产生和可视化弯曲平面重建视图(C),所述符号通路视图(B ),并且所述符号路径的路径点被分配有它们的3D空间位置数据,以及 - 通过所述管状结构的观察点(V)生成和可视化所述物体(1)的至少一个平面视图(O) 在所述弯曲平面重构视图(C)或所述符号通路视图(B)中选择的管状结构。

    METHOD FOR THE RECONSTRUCTION OF THREE-DIMENSIONAL OBJECTS
    32.
    发明申请
    METHOD FOR THE RECONSTRUCTION OF THREE-DIMENSIONAL OBJECTS 审中-公开
    重建三维物体的方法

    公开(公告)号:WO2004068412A1

    公开(公告)日:2004-08-12

    申请号:PCT/IB2004/000185

    申请日:2004-01-23

    Abstract: The invention relates to a method for the computer-aided reconstruction of a three-dimensional anatomical object (3) from diagnostic image data. First of all, a diagnostic image data set of the object (3) is acquired. Then a seed point (5) is set, starting from which the object is reconstructed within a reconstruction volume (4). Thereafter, an adjacent point of the reconstruction volume (4) likewise belonging to the object (3) is located in accordance with a propagation criterion, which is calculated by means of a mathematical analysis of local areas (6, 7), assigned to the point concerned, of the image data set. Reconstruction of the three-dimensional structure of the object (3) is then performed within the reconstruction volume (4) by multiple repetition of this method step and propagation along the located adjacent points. To apply such a reconstruction method to image data obtained by means of rotational X-ray imaging, wherein a plurality of two-dimensional projection images (1, 2) are recorded from different projection directions, the invention proposes that the propagation criterion be calculated by subjecting the local image areas (6, 7) of the two-dimensional projection images (1, 2) in each case individually to the mathematical analysis.

    Abstract translation: 本发明涉及一种用于从诊断图像数据计算机辅助重构三维解剖体(3)的方法。 首先,获取对象(3)的诊断图像数据集。 然后设置种子点(5),从重建体积(4)中重建对象开始。 此后,同样属于对象(3)的重构体积(4)的相邻点根据通过局部区域(6,7)的数学分析计算的传播标准来定位,分配给 关注图像数据集。 然后通过该方法步骤的多次重复和沿着定位的相邻点的传播,在重构体积(4)内重构物体(3)的三维结构。 为了将这种重建方法应用于通过旋转X射线成像获得的图像数据,其中从不同的投影方向记录多个二维投影图像(1,2),本发明提出传播准则由 在每种情况下对二维投影图像(1,2)的局部图像区域(6,7)进行数学分析。

    DETECTING HAEMORRHAGIC STROKE IN CT IMAGE DATA
    35.
    发明申请
    DETECTING HAEMORRHAGIC STROKE IN CT IMAGE DATA 审中-公开
    检测CT图像数据中的血流动力学

    公开(公告)号:WO2008155718A3

    公开(公告)日:2009-02-12

    申请号:PCT/IB2008052381

    申请日:2008-06-17

    Abstract: The invention relates to a system (100) arranged to delineate the acute intracerebral haematoma in non-contrasted CT images in two stages. The first stage, performed by the extraction unit (110), employs an analysis of gray values of the image data in order to extract the candidate region. The candidate region may comprise both an acute haematoma and other regions having similar gray values, e.g., regions resulting from partial volume effects at the interface of the bony structures of the skull and the brain. The novel second stage, performed by the classification unit (120), analyzes spatial features of the candidate region such as, for example, the size, shape, and connectedness to the skull bone of the candidate region. Using spatial features of the candidate region improves the correctness of classification of the candidate region as a true or false acute haematoma.

    Abstract translation: 本发明涉及一种系统(100),其被布置成在两个阶段中描绘非对照CT图像中的急性脑内血肿。 由提取单元(110)执行的第一阶段对图像数据的灰度值进行分析,以提取候选区域。 候选区域可以包括急性血肿和具有相似灰度值的其它区域,例如由头骨和脑的骨骼结构的界面处的部分体积效应产生的区域。 由分类单元(120)执行的新颖的第二阶段分析候选区域的空间特征,例如与候选区域的颅骨的尺寸,形状和连接性。 使用候选区域的空间特征将候选区域的分类的正确性提高为真的或假的急性血肿。

    DETECTING HAEMORRHAGIC STROKE IN CT IMAGE DATA
    36.
    发明申请
    DETECTING HAEMORRHAGIC STROKE IN CT IMAGE DATA 审中-公开
    检测CT图像数据中的血流动力学

    公开(公告)号:WO2008155718A2

    公开(公告)日:2008-12-24

    申请号:PCT/IB2008/052381

    申请日:2008-06-17

    Abstract: The invention relates to a system (100) arranged to delineate the acute intracerebral haematoma in non-contrasted CT images in two stages. The first stage, performed by the extraction unit (110), employs an analysis of gray values of the image data in order to extract the candidate region. The candidate region may comprise both an acute haematoma and other regions having similar gray values, e.g., regions resulting from partial volume effects at the interface of the bony structures of the skull and the brain. The novel second stage, performed by the classification unit (120), analyzes spatial features of the candidate region such as, for example, the size, shape, and connectedness to the skull bone of the candidate region. Using spatial features of the candidate region improves the correctness of classification of the candidate region as a true or false acute haematoma.

    Abstract translation: 本发明涉及一种系统(100),其被布置成在两个阶段中描绘非对照CT图像中的急性脑内血肿。 由提取单元(110)执行的第一阶段对图像数据的灰度值进行分析,以提取候选区域。 候选区域可以包括急性血肿和具有相似灰度值的其它区域,例如由头骨和脑的骨骼结构的界面处的部分体积效应产生的区域。 由分类单元(120)执行的新颖的第二阶段分析候选区域的空间特征,例如与候选区域的颅骨的尺寸,形状和连接性。 使用候选区域的空间特征将候选区域的分类的正确性提高为真的或假的急性血肿。

    LEARNING ANATOMY DEPENDENT VIEWING PARAMETERS ON MEDICAL VIEWING WORKSTATIONS
    37.
    发明申请
    LEARNING ANATOMY DEPENDENT VIEWING PARAMETERS ON MEDICAL VIEWING WORKSTATIONS 审中-公开
    在医疗观察工作台学习解剖学依据查看参数

    公开(公告)号:WO2008120155A2

    公开(公告)日:2008-10-09

    申请号:PCT/IB2008051166

    申请日:2008-03-28

    CPC classification number: G06T19/00 G06F19/321 G06T2210/41

    Abstract: The invention relates to a data processing apparatus and a method for providing visualisation parameters controlling the display of a medical image (12). The data processing apparatus comprises a mapping component (16). The mapping component (16) is arranged to receive a current dataset (15) corresponding to the medical image and comprising a content description thereof,to compare the content description of the current dataset (15) witha content description ofa pluralityofstored datasets, to select at least one further dataset out of the plurality of stored datasets, to retrieve stored visualisation parameters corresponding to the at least one further dataset, and to prepare the retrieved visualisation parameters as the visualisation parameters controlling the display of the medical image (12).

    Abstract translation: 本发明涉及一种用于提供控制医学图像(12)的显示的可视化参数的数据处理装置和方法。 数据处理装置包括映射组件(16)。 映射组件(16)被布置为接收与医学图像相对应的当前数据集(15),并且包括其内容描述,以将当前数据集(15)的内容描述与多个保存数据集的内容描述进行比较,以在 在多个存储的数据集中的至少一个另外的数据集,以检索与至少一个另外的数据集相对应的存储的可视化参数,并且准备所检索的可视化参数作为控制医学图像(12)的显示的可视化参数。

    AUTOMATED DIAGNOSIS AND ALIGNMENT SUPPLEMENTED WITH PET/MR FLOW ESTIMATION
    38.
    发明申请
    AUTOMATED DIAGNOSIS AND ALIGNMENT SUPPLEMENTED WITH PET/MR FLOW ESTIMATION 审中-公开
    用PET / MR流量估计补充的自动诊断和对齐

    公开(公告)号:WO2008107809A2

    公开(公告)日:2008-09-12

    申请号:PCT/IB2008/050545

    申请日:2008-02-14

    Abstract: A scanner (10) is used to provide images for automated diagnoses of neurodegenerative diseases, such as Alzheimer s disease. The images are registered (90) to a template (78). The aligned image is analyzed (60) in relation to reference image data (76, 80) which has been registered to the template which is contained in a knowledge maintenance engine (70) for similar patterns of hypo-intensity that would indicate (in the case of an FDG tracer) reduced glucose uptake in the brain. The most appropriate reference images for the analysis of the present study are chosen by a filter (74). The present study is then given a dementia score (84) as a diagnostic feature vector that indicates to a clinician the type and severity of the ailment based on the analysis. The scanner (10) can produce PET or other metabolic and MR images for diagnosis. The MR can be used to measure blood flow rate into the brain. From the blood flow rate and the metabolic image, tracer, e.g. FDG, uptake maps can be generated for use in the automated diagnoses.

    Abstract translation: 扫描器(10)用于提供用于自动诊断神经变性疾病如阿尔茨海默氏病的图像。 将图像(90)注册到模板(78)。 对已经注册到包含在知识维护引擎(70)中的模板的参考图像数据(76,80)进行对准的图像的分析(60),用于类似的低强度模式,其将指示(在 FDG示踪剂的情况)降低了脑中的葡萄糖摄取。 用于本研究分析的最合适的参考图像由滤波器(74)选择。 然后,本研究给予痴呆评分(84)作为诊断特征向量,其基于分析向临床医生指示疾病的类型和严重程度。 扫描仪(10)可以产生PET或其他代谢和MR图像进行诊断。 MR可用于测量进入脑部的血液流量。 从血流速度和代谢图像,示踪剂,例如, 可以生成FDG,摄影图可用于自动诊断。

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