Feature-based composing for 3D MR angiography images
    18.
    发明申请
    Feature-based composing for 3D MR angiography images 有权
    基于功能的组合3D血管造影图像

    公开(公告)号:US20060052686A1

    公开(公告)日:2006-03-09

    申请号:US11185603

    申请日:2005-07-20

    IPC分类号: A61B5/05

    摘要: Multiple volumes that are to be aligned to form a single volume are processed. The system and method use an equalization step, a edge detection step and a correlation step to determine the overlapping positions between the first volume and the second volume of a volume pair having a maximum correlation value, and the best alignment of the first volume and the second volume of the volume pair is determined by the correlation value. A coarse correlation step using lower resolution volumes can be performed first followed by a fine correlation step using higher resolution images to save processing time. Initial preprocessing steps such as volume shearing can be performed. Equalization involves equalizing voxel size and edge detection can be performed using a Canny edge detector.

    摘要翻译: 要对齐以形成单个卷的多个卷将被处理。 系统和方法使用均衡步骤,边缘检测步骤和相关步骤来确定具有最大相关值的体积对的第一体积和第二体积之间的重叠位置,并且第一体积和 体积对的第二体积由相关值确定。 可以首先执行使用较低分辨率体积的粗相关步骤,然后使用较高分辨率图像的精细相关步骤来节省处理时间。 可以执行诸如体积剪切的初始预处理步骤。 均衡涉及均衡体素大小,边缘检测可以使用Canny边缘检测器进行。

    Validation scheme for composing magnetic resonance images (MRI)
    20.
    发明授权
    Validation scheme for composing magnetic resonance images (MRI) 有权
    构成磁共振图像(MRI)的验证方案

    公开(公告)号:US07711161B2

    公开(公告)日:2010-05-04

    申请号:US11204790

    申请日:2005-08-16

    IPC分类号: G06K9/00

    摘要: Method and apparatus for determining the quality of alignment of a pair of volumes of data of medical images is disclosed. The method for validating the alignment includes selecting one or more points in the first volume and one or more points in the second volume, determining the average distance between the one or more points in the first volume and the one or more points in the second volume, determining a distortion category based on the average distance, determining an average noise level in the first and second volumes, and assigning a Q value indicative of the quality of the alignment based on the distortion category.

    摘要翻译: 公开了用于确定一对体积的医学图像数据的对准质量的方法和装置。 验证对准的方法包括选择第一体积中的一个或多个点和第二体积中的一个或多个点,确定第一体积中的一个或多个点与第二体积中的一个或多个点之间的平均距离 基于所述平均距离确定失真类别,确定所述第一和第二体积中的平均噪声水平,以及基于所述失真类别分配指示所述对准的质量的Q值。