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    • 7. 发明授权
    • Multi-modality deformable registration
    • 多模态变形登记
    • US09240032B2
    • 2016-01-19
    • US14384163
    • 2013-03-13
    • KONINKLIJKE PHILIPS N.V.
    • Amir Mohammad Tahmasebi MaraghooshJochen KrueckerMahmoudreza Sharifi
    • G06T3/00G06T7/00
    • G06T3/0068G06T7/33G06T2207/10088G06T2207/10136G06T2207/20048G06T2207/30081
    • A method, system, and computer program product are provided for performing a multi-modal deformable imaging registration between two different modalities for which a functional dependency is missing or very difficult to identify. The method provides a nonlinear mapping between every pair of points in the two image modalities by calculating the nonlinear mapping for only a limited number of identifiable landmarks within the two modalities and a statistical deformation model of the structure of interest. The method comprises: calculating a mean deformation and a plurality of deformation mode Eigen vectors for a body structure from images from the same imaging mode with different deformation states for a plurality of subjects; performing a registration of a limited number of uniquely identifiable landmark points between images from two different imaging modalities for the same subject to calculate the deformation field for the landmarks from the images; determining weights for each deformation mode Eigen vector using deformation field values at the landmarks with the mean deformation and the deformation mode vectors; and summing the mean deformation field and the linear combination of the weighted deformation mode vectors to determine the deformation field between the different imaging modes for all the points within the images.
    • 提供了一种方法,系统和计算机程序产品,用于在功能依赖性丢失或非常难以识别的两种不同模式之间执行多模式可变形成像配准。 该方法通过计算两个模态中仅有限数量的可识别地标的非线性映射和感兴趣结构的统计变形模型,来提供两个图像模态中每对点之间的非线性映射。 该方法包括:从对于多个对象具有不同变形状态的相同成像模式的图像计算身体结构的平均变形和多个变形模式特征向量; 对来自两个不同成像模式的图像在相同对象的图像之间执行有限数量的唯一可识别的地标点的注册,以从图像计算地标的变形场; 使用平均变形和变形模式向量在地标处使用变形场值确定每个变形模式特征向量的权重; 并对加权变形模式向量的平均变形场和线性组合求和,以确定图像内所有点的不同成像模式之间的变形场。