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    • 4. 发明申请
    • IMAGE ENHANCEMENT BY SPATIAL LINEAR DECONVOLUTION
    • 通过空间线性退化的图像增强
    • WO2005006962A2
    • 2005-01-27
    • PCT/US2004023178
    • 2004-07-19
    • NIRX MEDICAL TECHNOLOGIES L LBARBOUR RANDALL LGRABER HARRY LPEI YALINGXU YONG
    • BARBOUR RANDALL LGRABER HARRY LPEI YALINGXU YONG
    • A61B20060101G06F7/60G06F17/10A61B
    • 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。 滤波器被定义为将模型(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。
    • 5. 发明申请
    • MODIFICATION OF THE NORMALIZED DIFFERENCE METHOD FOR REAL-TIME OPTICAL TOMOGRAPHY
    • 用于实时光学测量的正则化差分方法的修改
    • WO2003088133A1
    • 2003-10-23
    • PCT/US2003/010524
    • 2003-04-07
    • BARBOUR, Randall, L.PEI, Yaling
    • BARBOUR, Randall, L.PEI, Yaling
    • G06K9/00
    • G06T11/006A61B5/0073A61B5/0091A61B5/4312G01N21/359G01N21/4795G01N21/49G01N2021/1787G01N2021/475G01N2201/0826G01N2201/0833
    • Computation -saving techniques and stability-adding techniques provide for fast, accurate reconstructions of a time series of images involving large scale 3D problems, such as real-time image recovery in an optical tomography imaging system. A system equation for a target medium (116) such as a tissue is solved using a Normalized Difference Method (NDM) (250). Because of the inherent stability of the NDM solutions, a weight matrix (W) of the system equation can be provided for a given point in a time series (220), then reused without recalculation at subsequent points. Further saving are achieved by decomposing W using singular value decomposition or direst matrix decomposition, transforming it to reduce its dimensions, and/or scaling it to achieve a more stable numerical solution. Values of measured energy (112) emerging from the target medium are back-substituted into the system equation for the different points to obtain the target medium properties.
    • 计算保存技术和稳定性添​​加技术可以快速,准确地重建涉及大规模3D问题的时间序列图像,例如光学层析成像系统中的实时图像恢复。 使用归一化差分法(NDM)(250)解决诸如组织的目标介质(116)的系统方程式。 由于NDM解决方案的固有稳定性,可以为时间序列(220)中的给定点提供系统方程的权重矩阵(W),然后在后续点重新计算。 通过使用奇异值分解或直接矩阵分解来分解W来实现进一步节省,将其变换以减小其尺寸和/或缩放以实现更稳定的数值解。 从目标介质出现的测量能量(112)的值被替代为不同点的系统方程,以获得目标介质特性。