Symmetric and Inverse-Consistent Deformable Registration
    2.
    发明申请
    Symmetric and Inverse-Consistent Deformable Registration 有权
    对称和逆向一致变形注册

    公开(公告)号:US20120121200A1

    公开(公告)日:2012-05-17

    申请号:US13291370

    申请日:2011-11-08

    IPC分类号: G06K9/36

    CPC分类号: G06T3/0068 G06K2209/051

    摘要: A method for symmetric and inverse-consistent registration of a pair of digital images includes calculating a first update of a forward transformation of a first digital image to a second digital image from a previous update of the forward transformation and a gradient of a cost function of the first and second digital images, calculating a first update of a backward transformation of the second digital image to the first digital image from an inverse of the first update of the forward transformation, calculating a second update of the backward transformation from first update of the backward transformation and the gradient of a cost function of the second and first digital images, and calculating a second update of the forward transformation from an inverse of the second update of the backward transformation.

    摘要翻译: 用于一对数字图像的对称和反向一致配准的方法包括从前向变换的先前更新和第一数字图像的成本函数的梯度计算第一数字图像向第二数字图像的正向变换的第一更新 所述第一数字图像和所述第二数字图像从所述正向变换的所述第一更新的逆算出计算所述第二数字图像向所述第一数字图像的反向变换的第一更新,从所述正向变换的所述第一更新计算所述反向变换的第二更新, 反向变换和第二和第一数字图像的成本函数的梯度,以及从反向变换的第二更新的倒数计算正向变换的第二更新。

    Symmetric and inverse-consistent deformable registration
    3.
    发明授权
    Symmetric and inverse-consistent deformable registration 有权
    对称和反向一致的可变形配准

    公开(公告)号:US08577177B2

    公开(公告)日:2013-11-05

    申请号:US13291370

    申请日:2011-11-08

    IPC分类号: G06K9/32

    CPC分类号: G06T3/0068 G06K2209/051

    摘要: A method for symmetric and inverse-consistent registration of a pair of digital images includes calculating a first update of a forward transformation of a first digital image to a second digital image from a previous update of the forward transformation and a gradient of a cost function of the first and second digital images, calculating a first update of a backward transformation of the second digital image to the first digital image from an inverse of the first update of the forward transformation, calculating a second update of the backward transformation from first update of the backward transformation and the gradient of a cost function of the second and first digital images, and calculating a second update of the forward transformation from an inverse of the second update of the backward transformation.

    摘要翻译: 用于一对数字图像的对称和反向一致配准的方法包括从前向变换的先前更新和第一数字图像的成本函数的梯度计算第一数字图像向第二数字图像的正向变换的第一更新 所述第一数字图像和所述第二数字图像从所述正向变换的所述第一更新的逆算出计算所述第二数字图像向所述第一数字图像的反向变换的第一更新,从所述正向变换的所述第一更新计算所述反向变换的第二更新, 反向变换和第二和第一数字图像的成本函数的梯度,以及从反向变换的第二更新的倒数计算正向变换的第二更新。

    GENERATION OF MOVING VASCULAR MODELS AND BLOOD FLOW ANALYSIS FROM MOVING VASCULAR MODELS AND PHASE CONTRAST MRI
    8.
    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

    IPC分类号: G06K9/00

    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 AUTOMATIC EVALUATION OF AN IMAGE DATA SET OF A SUBJECT
    9.
    发明申请
    METHOD AND SYSTEM FOR AUTOMATIC EVALUATION OF AN IMAGE DATA SET OF A SUBJECT 审中-公开
    用于自动评估主题图像数据集的方法和系统

    公开(公告)号:US20070223796A1

    公开(公告)日:2007-09-27

    申请号:US11688986

    申请日:2007-03-21

    申请人: Jens Guehring

    发明人: Jens Guehring

    IPC分类号: G06K9/00 G06K9/46

    摘要: In a method and system for automated evaluation of an image data set of a subject, first features are extracted from the image data set that are associated with the subject. An interdependency between the image data set of the subject and a reference system that corresponds to the image data set is determined, by the extracted first features being set in relation to corresponding second features in the reference system. Method steps relating to image evaluation that are predefined at the reference system, are adapted to the image data set using the determined interdependency. The image data set by executing the adapted method steps on the image data set. The evaluated image data set is stored in a storage medium and/or the evaluated image data set is visually presented.

    摘要翻译: 在用于自动评估对象的图像数据集的方法和系统中,从与对象相关联的图像数据集中提取第一特征。 通过相对于参考系统中的对应的第二特征设置提取的第一特征来确定对象的图像数据集与对应于图像数据集的参考系统之间的相互依赖关系。 在参考系统上预定义的与图像评估相关的方法步骤适用于使用所确定的相互依赖性的图像数据集。 通过对图像数据集执行适应方法步骤来设置图像数据。 所评估的图像数据集被存储在存储介质中,和/或被评估的图像数据集被视觉呈现。