METHOD FOR ITERATIVELY EXTRACTING MOTION PARAMETERS FROM ANGIOGRAPHY IMAGES
    1.
    发明申请
    METHOD FOR ITERATIVELY EXTRACTING MOTION PARAMETERS FROM ANGIOGRAPHY IMAGES 审中-公开
    用于从摄影图像中迭代提取运动参数的方法

    公开(公告)号:US20160189394A1

    公开(公告)日:2016-06-30

    申请号:US14960461

    申请日:2015-12-07

    Abstract: A method for extracting motion parameters from angiography images using a multi-parameter model. The method includes: 1) extracting I vascular structural feature points automatically from a medical image of an angiography image sequence, and auto-tracking the feature points respectively in the angiography image sequence to obtain a tracking sequence of each feature point; 2) performing a discrete Fourier transformation on the tracking sequence of each feature point to obtain a discrete Fourier transformation result; initializing an iterative parameter, and obtaining amplitude range and frequency range of each frequency point of the discrete Fourier transformation result; 3) performing a Fourier transformation on a tracking sequence of each frequency point in the amplitude range and the frequency range thereof to obtain Fourier transformation results; and 4) performing an inverse Fourier transformation on the Fourier transformation results, and obtaining an estimated minimum mean square error of each frequency point.

    Abstract translation: 一种使用多参数模型从血管造影图像中提取运动参数的方法。 该方法包括:1)从血管造影图像序列的医学图像自动提取I血管结构特征点,并在血管造影图像序列中自动跟踪特征点,获得每个特征点的跟踪序列; 2)对每个特征点的跟踪序列执行离散傅里叶变换以获得离散傅里叶变换结果; 初始化迭代参数,并获得离散傅立叶变换结果的每个频点的幅度范围和频率范围; 3)对振幅范围及其频率范围内的每个频点的跟踪序列执行傅里叶变换,以获得傅里叶变换结果; 以及4)对所述傅立叶变换结果执行逆傅立叶变换,并且获得每个频点的估计的最小均方误差。

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