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    • 4. 发明授权
    • System and method for efficient feature estimation for medical images
    • 用于医学图像的有效特征估计的系统和方法
    • US07596282B2
    • 2009-09-29
    • US11343128
    • 2006-01-30
    • Ti-chiun ChangJason Jenn-Kwei Tyan
    • Ti-chiun ChangJason Jenn-Kwei Tyan
    • G06K9/64G06K9/40
    • G06K9/4609G06T5/004G06T2207/30004
    • A method for estimating feature values from a digitized image includes calculating a gradient of an image, defining a filter weighting function, convolving the gradient with the filter weighting function, integrating over a subdomain of the convolved gradient to calculate components of a cost matrix Φ, wherein the cost matrix minimizes a distance metric in a frequency domain of the image, solving for the eigenvalues of the cost matrix, and calculating one or more features from the cost matrix eigenvalues. One or more predesigned bandpass filters can be applied to the image, and cost matrix eigenvalues are analyzed to select one or more appropriate bandpass filters to be applied to the image.
    • 一种用于从数字化图像估计特征值的方法包括计算图像的梯度,定义滤波器加权函数,将该梯度与滤波器加权函数相加,在卷积梯度的子域上积分以计算成本矩阵Phi的分量, 其中所述成本矩阵最小化图像的频域中的距离度量,求解所述成本矩阵的特征值,以及从所述成本矩阵特征值计算一个或多个特征。 可以将一个或多个预先设计的带通滤波器应用于图像,并且分析成本矩阵特征值以选择要应用于图像的一个或多个适当的带通滤波器。
    • 9. 发明授权
    • System and method for adaptive spatial compounding for ultrasound imaging
    • 用于超声成像的自适应空间复合的系统和方法
    • US07817839B2
    • 2010-10-19
    • US11566328
    • 2006-12-04
    • Yunqiang ChenJason Jenn-Kwei Tyan
    • Yunqiang ChenJason Jenn-Kwei Tyan
    • G06K9/00
    • A61B8/00A61B8/5238
    • A method for removing speckle noise from ultrasound images includes providing a plurality of digitized ultrasound (US) images, each image comprising a plurality of intensities corresponding to a domain of points on a 2-dimensional grid, initializing an initial gain associated with each of said plurality of US images, estimating a signal sub-space by averaging over each US image divided by its associated gain, and estimating an updated gain by projecting its associated image into said signal sub-space. If an absolute difference of said updated gain and said initial gain is less than a pre-determined quantity, obtaining an averaged image from said signal sub-space, estimating an optimal Wiener filter from said plurality of US images and said averaged image, and filtering said averaged image with said Wiener filter, wherein said speckle noise is substantially minimized.
    • 一种用于从超声图像中去除斑点噪声的方法包括提供多个数字化超声波(US)图像,每个图像包括对应于二维网格上的点的域的多个强度,初始化与每个所述 多个美国图像,通过对每个US图像进行平均而除以其相关联的增益来估计信号子空间,以及通过将其相关图像投影到所述信号子空间来估计更新的增益。 如果所述更新的增益和所述初始增益的绝对差小于预定量,则从所述信号子空间获得平均图像,从所述多个US图像和所述平均图像中估计最佳维纳滤波器,以及滤波 所述维纳滤波器的所述平均图像,其中所述斑点噪声基本上最小化。