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    • 1. 发明申请
    • Image enhancement by spatial linear deconvolution
    • 通过空间线性去卷积的图像增强
    • US20050055184A1
    • 2005-03-10
    • US10894317
    • 2004-07-19
    • Randall BarbourHarry GraberYaling PeiYong Xu
    • Randall BarbourHarry GraberYaling PeiYong Xu
    • A61B20060101G06F7/60G06F17/10
    • G06T5/003G06T2207/10101G06T2207/30004
    • Data from a target system (616) that exhibits a non-linear relationship between system properties and measurement data, is processed by applying a linear filter (F) to improve resolution and accuracy. The filter reduces inaccuracies that are introduced by an algorithm used to reconstruct the data. The filter is defined by assigning time varying functions, such as sinusoids (200), to elements (210) in a model (Y) of the system to perturbate the elements. The resulting data output from the model is reconstructed using the same algorithm used to subsequently reconstruct the data from the target system. The filter is defined as a matrix (F) that transforms the reconstructed data of the model (X) back toward the known properties of the model (Y). A library of filters can be pre-calculated for different applications. In an example implementation, the system is tissue that is imaged using optical tomography.
    • 通过应用线性滤波器(F)来处理呈现系统属性和测量数据之间的非线性关系的来自目标系统(616)的数据,以提高分辨率和精度。 滤波器减少了用于重建数据的算法引入的不准确性。 通过将系统的模型(Y)中的元件(210)分配诸如正弦曲线(200)的时变函数来扰动元件来定义滤波器。 使用用于随后从目标系统重建数据的相同算法重构来自模型的结果数据。 过滤器被定义为将模型(X)的重建数据转换回模型(Y)的已知属性的矩阵(F)。 可以为不同的应用程序预先计算一个过滤器库。 在示例实现中,系统是使用光学层析成像成像的组织。