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    Generation of moving vascular models and blood flow analysis from moving vascular models and phase contrast MRI
    1.
    发明授权
    Generation of moving vascular models and blood flow analysis from moving vascular models and phase contrast MRI 有权
    移动血管模型的生成和血液流动分析从移动血管模型和相位对比MRI

    公开(公告)号：US08675940B2

    公开(公告)日：2014-03-18

    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。

    GENERATION OF MOVING VASCULAR MODELS AND BLOOD FLOW ANALYSIS FROM MOVING VASCULAR MODELS AND PHASE CONTRAST MRI
    2.
    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 magnetic resonance device to determine a background phase curve
    6.
    发明授权
    Method and magnetic resonance device to determine a background phase curve 有权
    方法和磁共振装置确定背景相曲线

    公开(公告)号：US08466677B2

    公开(公告)日：2013-06-18

    申请号：US13014840

    申请日：2011-01-27

    申请人： Andreas Greiser ,  Arne Littmann

    发明人： Andreas Greiser ,  Arne Littmann

    IPC分类号： G01V3/00

    CPC分类号： G01R33/56316 ,  G01R33/56518

    摘要： In a magnetic resonance (MR) device and method to determine a background phase curve in MR image data, in first MR image data and in second MR image data that respectively represent different segments (for example different slices) of an examination subject, first and second pixels are identified that represent essentially stationary tissue, and the associated phase values are determined. Phase correction values for the first MR image data are determined depending on the phase values determined for the first and second pixels that represent essentially stationary tissue.

    摘要翻译： 在用于确定MR图像数据中的背景相位曲线的磁共振（MR）装置和方法中，在分别表示检查对象的不同段（例如不同切片）的第一MR图像数据和第二MR图像数据中，首先和 识别表示基本上静止的组织的第二像素，并且确定相关联的相位值。 取决于对于代表基本上静止的组织的第一和第二像素确定的相位值来确定第一MR图像数据的相位校正值。

    METHOD AND MAGNETIC RESONANCE DEVICE TO DETERMINE A BACKGROUND PHASE CURVE
    7.
    发明申请
    METHOD AND MAGNETIC RESONANCE DEVICE TO DETERMINE A BACKGROUND PHASE CURVE 有权
    用于确定背景相位曲线的方法和磁共振装置

    公开(公告)号：US20110188721A1

    公开(公告)日：2011-08-04

    申请号：US13014840

    申请日：2011-01-27

    申请人： Andreas Greiser ,  Arne Littmann

    发明人： Andreas Greiser ,  Arne Littmann

    IPC分类号： G06K9/00 ,  G01R33/48

    CPC分类号： G01R33/56316 ,  G01R33/56518

    摘要： In a magnetic resonance (MR) device and method to determine a background phase curve in MR image data, in first MR image data and in second MR image data that respectively represent different segments (for example different slices) of an examination subject, first and second pixels are identified that represent essentially stationary tissue, and the associated phase values are determined. Phase correction values for the first MR image data are determined depending on the phase values determined for the first and second pixels that represent essentially stationary tissue.

    摘要翻译： 在用于确定MR图像数据中的背景相位曲线的磁共振（MR）装置和方法中，在分别表示检查对象的不同段（例如不同切片）的第一MR图像数据和第二MR图像数据中，首先和 识别表示基本上静止的组织的第二像素，并且确定相关联的相位值。 取决于对于代表基本上静止的组织的第一和第二像素确定的相位值来确定第一MR图像数据的相位校正值。

    Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images
    8.
    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。

    Method and system for left ventricle detection in 2D magnetic resonance images
    9.
    发明授权
    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：US08406496B2

    公开(公告)日：2013-03-26

    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

    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。

    Interaction method for regions of-interest in time series images
    10.
    发明授权
    Interaction method for regions of-interest in time series images 有权
    时间序列图像中感兴趣区域的交互方法

    公开(公告)号：US08805045B2

    公开(公告)日：2014-08-12

    申请号：US13248309

    申请日：2011-09-29

    申请人： Christoph Guetter ,  Jens Gühring ,  Marie-Pierre Jolly ,  Arne Littmann ,  Manuela Rick ,  Michaela Schmidt ,  Hui Xue

    发明人： Christoph Guetter ,  Jens Gühring ,  Marie-Pierre Jolly ,  Arne Littmann ,  Manuela Rick ,  Michaela Schmidt ,  Hui Xue

    IPC分类号： G06K9/00 ,  G06T7/00

    CPC分类号： G06T7/0083 ,  G06T7/12 ,  G06T7/174 ,  G06T2207/10016 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/20104 ,  G06T2207/30004

    摘要： A method for identifying a region of interest within a time sequence of images includes acquiring a time sequence of images comprising a plurality of image frames. Image segmentation is performed to segment a region of interest (ROI) from within each of the plurality of image frames of the time sequence of images. Manual edits are received for the ROI within one or more of the plurality of image frames. The manual edits are propagated to other image frames of the plurality of images. An extent to which each of the manual edits are propagated to other image frames is dependent upon a transformation function or deformation field used to propagate the manual edits and a weighing factor that is influenced by a distance in time between the other image frames and the frames that have been manually edited.

    摘要翻译： 用于识别图像的时间序列内的感兴趣区域的方法包括获取包括多个图像帧的图像的时间序列。 执行图像分割以从图像的时间序列的多个图像帧的每一个内分割感兴趣区域（ROI）。 对于多个图像帧中的一个或多个中的ROI，接收手动编辑。 手动编辑被传播到多个图像的其他图像帧。 每个手动编辑传播到其他图像帧的程度取决于用于传播手动编辑的变换函数或变形字段以及受其他图像帧和帧之间的时间距离的影响的称重因子 已经被手动编辑。