Method and system for hybrid rigid registration of 2D/3D medical images
    61.
    发明授权
    Method and system for hybrid rigid registration of 2D/3D medical images 有权
    2D / 3D医学图像混合刚性配准的方法和系统

    公开(公告)号:US07409108B2

    公开(公告)日:2008-08-05

    申请号:US10946204

    申请日:2004-09-21

    IPC分类号: G06K9/32 G06K9/68

    CPC分类号: G06K9/00208 G06T7/33 G06T7/35

    摘要: A method of aligning a pair of images with a first image and a second image, wherein said images comprise a plurality of intensities corresponding to a domain of points in a D-dimensional space includes identifying feature points on both images using the same criteria, computing a feature vector for each feature point, measuring a feature dissimilarity for each pair of feature vectors, wherein a first feature vector of each pair is associated with a first feature point on the first image, and a second feature vector of each pair is associated with a second feature point on the second image. A correspondence mapping for each pair of feature points is determined using the feature dissimilarity associated with each feature point pair, and an image transformation is defined to align the second image with the first image using one or more pairs of feature points that are least dissimilar.

    摘要翻译: 一种将一对图像与第一图像和第二图像对准的方法,其中所述图像包括对应于D维空间中的点的区域的多个强度,包括使用相同标准在两个图像上识别特征点,计算 每个特征点的特征向量,测量每对特征向量的特征不相似性,其中每对的第一特征向量与第一图像上的第一特征点相关联,并且每对的第二特征向量与 第二个图像上的第二个特征点。 使用与每个特征点对相关联的特征不相似度来确定每对特征点的对应关系,并且定义图像变换以使用至少不相似的一对或多对特征点将第二图像与第一图像对准。

    Method for groupwise point set matching
    62.
    发明申请
    Method for groupwise point set matching 审中-公开
    分组点集匹配方法

    公开(公告)号:US20070086659A1

    公开(公告)日:2007-04-19

    申请号:US11518763

    申请日:2006-09-11

    IPC分类号: G06K9/62

    CPC分类号: G06K9/6211

    摘要: A method for registering a collection of m input point sets or images {P1, P2, . . . , Pm}, where m is an integer. The method identifies a set of m rigid (or affine) transformations {T1, T2, . . . , Tm} aligning such images comprising determining a mean of the input point sets or images {P1, P2, . . . , Pm} and aligning the images using the determined mean in performing the transformation alignment. The method extends image matching using only a pair of point sets (i.e., from registration of only a pair of images) to a collection of point sets (i.e., registration of more than a pair of images).

    摘要翻译: 一种用于登记m个输入点集合或图像集合的方法(P ,P < 。 。 ,P m m},其中m是整数。 该方法识别一组m个刚性(或仿射)变换{T 1>,T 2 2]。 。 。 对齐这样的图像,包括确定输入点集合或图像的平均值,P&lt; 2&lt; 2&gt ;. 。 。 ,并且在执行变换对准时使用确定的平均值对准图像。 该方法仅使用一对点集(即,仅从一对图像的注册)扩展图像匹配到点集合的集合(即,多于一对图像的注册)。

    Method and system for hybrid rigid registration of 2D/3D medical images
    63.
    发明申请
    Method and system for hybrid rigid registration of 2D/3D medical images 有权
    2D / 3D医学图像混合刚性配准的方法和系统

    公开(公告)号:US20050094898A1

    公开(公告)日:2005-05-05

    申请号:US10946204

    申请日:2004-09-21

    IPC分类号: G06K9/00 G06K9/64 G06T7/40

    CPC分类号: G06K9/00208 G06T7/33 G06T7/35

    摘要: A method of aligning a pair of images with (101) a first image and a second image, wherein said images comprise a plurality of intensities corresponding to a domain of points in a D-dimensional space includes identifying (102) feature points on both images using the same criteria, computing (103) a feature vector for each feature point, measuring a feature dissimilarity (104) for each pair of feature vectors, wherein a first feature vector of each pair is associated with a first feature point on the first image, and a second feature vector of each pair is associated with a second feature point on the second image. A correspondence mapping (105) for each pair of feature points is determined using the feature dissimilarity associated with each feature point pair, and an image transformation (106) is defined to align (108) the second image with the first image using one or more pairs of feature points that are least dissimilar.

    摘要翻译: 一种将一对图像与(101)第一图像和第二图像对准的方法,其中所述图像包括对应于D维空间中的点的区域的多个强度,包括在两个图像上识别(102)特征点 使用相同的标准,计算(103)每个特征点的特征向量,测量每对特征向量的特征不相似性(104),其中每对特征向量的第一特征向量与第一图像上的第一特征点相关联 并且每对的第二特征向量与第二图像上的第二特征点相关联。 使用与每个特征点对相关联的特征不相似度来确定每对特征点的对应映射(105),并且定义图像变换(106)以使用一个或多个对象(108)将第二图像与第一图像对准 成对的特征点是最不相似的。