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    Method for determining midpoint coordinates of an image of a point-symmetrical structure
    22.
    发明申请
    Method for determining midpoint coordinates of an image of a point-symmetrical structure 有权
    用于确定点对称结构的图像的中点坐标的方法

    公开(公告)号：US20070092131A1

    公开(公告)日：2007-04-26

    申请号：US11584991

    申请日：2006-10-23

    申请人： Jens Guhring ,  Arne Littmann

    发明人： Jens Guhring ,  Arne Littmann

    IPC分类号： G06K9/00 ,  G06K9/36

    CPC分类号： G01R33/583 ,  G01R33/5608 ,  G01R33/56518 ,  G01R33/56563 ,  G01R33/56572 ,  G01R33/5659

    摘要： The invention relates to a method for determining midpoint coordinates of an image of a point-symmetrical structure stored in a volume data record, comprising: extracting a partial volume data record from the volume data record which contains the image of the point-symmetrical structure, selecting a set of points whose coordinates lie in the partial volume data record, determining a measure for each point of the set wherein the measure for each of the points of the set characterizes in each case the symmetry of the partial volume data record in relation to this point, selecting a point as a midpoint of the point-symmetrical structure that point of the set in relation to which the partial volume data record has the greatest symmetry on the basis of the previously determined measures, and storing the coordinates of the midpoint in a computer unit.

    摘要翻译： 本发明涉及一种用于确定存储在体数据记录中的点对称结构的图像的中点坐标的方法，包括：从包含点对称结构的图像的体数据记录中提取部分体数据记录， 选择一组坐标位于部分体积数据记录中的点，确定集合中的每个点的度量，其中集合中的每个点的度量在每种情况下表征为部分体积数据记录相对于 这一点，将点作为点对称结构的中点，基于先前确定的度量，部分体积数据记录相对于该组的点具有最大对称性，并且将中点的坐标存储在 一个电脑单元。

    METHOD AND MAGNETIC RESONANCE SYSTEM FOR COMBINING SIGNALS ACQUIRED FROM DIFFERENT ACQUISITION COILS
    25.
    发明申请
    METHOD AND MAGNETIC RESONANCE SYSTEM FOR COMBINING SIGNALS ACQUIRED FROM DIFFERENT ACQUISITION COILS 有权
    用于组合从不同收购线圈获得的信号的方法和磁共振系统

    公开(公告)号：US20120112751A1

    公开(公告)日：2012-05-10

    申请号：US13289309

    申请日：2011-11-04

    申请人： Arne Littmann ,  Davide Piccini ,  Michael Zenge

    发明人： Arne Littmann ,  Davide Piccini ,  Michael Zenge

    IPC分类号： G01R33/44

    CPC分类号： G01R33/4838 ,  A61B5/055 ,  G01R33/5608 ,  G01R33/5611 ,  G01R33/56545

    摘要： In a method and magnetic resonance (MR) apparatus for combining MR signals that were acquired with different acquisition coils from a region of an examination subject at least two MR signals that are based on MR signals acquired with at least two different acquisition coils are provided to a processor. Due to the spatially differing arrangement of the respective acquisition coils, the at least two MR signals image the region of the examination subject with different sensitivity profiles. The provided MR signals are combined, such that unwanted MR signal portions are suppressed, to form a combined MR signal with the suppression of unwanted MR signal portions being implemented by MR signal portions that were acquired with an acquisition coil that detects the unwanted MR signal portions with increased sensitivity in comparison to other acquisition coils being weighted less in the combined MR signal than other MR signal portions.

    摘要翻译： 在用于组合从检查对象的区域中获取的不同采集线圈的MR信号的方法和磁共振（MR）装置中，至少两个MR信号基于用至少两个不同采集线圈获取的MR信号被提供给 一个处理器 由于各个采集线圈的空间上不同的布置，所述至少两个MR信号以不同的灵敏度分布图像检查对象的区域。 所提供的MR信号被组合，使得不需要的MR信号部分被抑制以形成组合的MR信号，其中抑制不期望的MR信号部分由MR信号部分实现，MR信号部分是用检测不需要的MR信号部分的采集线圈 与其他采集线圈相比，在组合MR信号中比其他MR信号部分加权较小的灵敏度增加。

    GENERATION OF MOVING VASCULAR MODELS AND BLOOD FLOW ANALYSIS FROM MOVING VASCULAR MODELS AND PHASE CONTRAST MRI
    26.
    发明申请
    GENERATION OF MOVING VASCULAR MODELS AND BLOOD FLOW ANALYSIS FROM MOVING VASCULAR MODELS AND PHASE CONTRAST MRI 有权
    运动血管模型和血液流动分析从移动血管模型和相位对比MRI的生成

    公开(公告)号：US20110103665A1

    公开(公告)日：2011-05-05

    申请号：US12911829

    申请日：2010-10-26

    申请人： Mehmet Akif Gulsun ,  Andreas Greiser ,  Jens Guehring ,  Arne Littmann ,  Edgar Müller

    发明人： Mehmet Akif Gulsun ,  Andreas Greiser ,  Jens Guehring ,  Arne Littmann ,  Edgar Müller

    IPC分类号： G06K9/00

    CPC分类号： G06T7/251 ,  G06T7/248 ,  G06T2207/10096 ,  G06T2207/30104

    摘要： A method of deriving blood flow parameters from a moving three-dimensional (3D) model of a blood vessel includes determining a reference vascular cross-sectional plane through a location of a lumen in a moving 3D model of the blood vessel at one time within the model, determining a plurality of target vascular cross-sectional planes at multiple times via temporal tracking of the reference plane based on a displacement field, determining a plurality of contours based on an intersection of the target vascular cross-sectional planes with the moving 3D vessel model at multiple times within the model, and determining a blood flow parameter of the vessel from intersections of each contour of a given one of the times with a phase contrast magnetic resonance (PC-MRI) image of the blood vessel from the corresponding time.

    摘要翻译： 从血管的移动三维（3D）模型导出血液流动参数的方法包括：确定在血管的运动3D模型中的管腔位置的参考血管横截面平面 模型，基于位移场，通过基准平面的时间跟踪多次确定多个目标血管横截面，基于目标血管横截面与移动3D血管的交点确定多个轮廓 模型，并且从给定时间的每个轮廓与相应时间的血管的相位对比磁共振（PC-MRI）图像的交点确定血管的血流参数。

    Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images
    27.
    发明申请
    Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images 有权
    二维磁共振图像左心室检测方法与系统

    公开(公告)号：US20100040272A1

    公开(公告)日：2010-02-18

    申请号：US12504047

    申请日：2009-07-16

    申请人： Yefeng Zheng ,  Xiaoguang Lu ,  Bogdan Georgescu ,  Edgar Müller ,  Dorin Comaniciu ,  Arne Littmann

    发明人： Yefeng Zheng ,  Xiaoguang Lu ,  Bogdan Georgescu ,  Edgar Müller ,  Dorin Comaniciu ,  Arne Littmann

    IPC分类号： G06K9/00 ,  A61B5/055

    CPC分类号： G06K9/6202 ,  G06K2209/051

    摘要： A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result using component-based voting based on the detected LV candidates, apex candidates, and base candidates.

    摘要翻译： 公开了一种用于2D磁共振成像（MRI）图像中左心室（LV）检测的方法和系统。 为了检测2D MRI图像中的LV，例如使用基于边缘空间学习（MSL）的检测来检测多个LV候选。 然后在2D MRI图像中检测与LV相关的特征性解剖学标记的候选者。 特别地，在2D MRI图像中检测到顶点候选和基础候选。 使用基于检测到的LV候选，顶点候选和基础候选的基于组件的投票，将LV候选中的一个选择为最终的LV检测结果。