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    • 2. 发明授权
    • Method and apparatus for estimating tissue volumes in magnetic resonance
images
    • 用于估计磁共振图像中组织体积的方法和装置
    • US5425368A
    • 1995-06-20
    • US33749
    • 1993-03-17
    • Michael E. Brandt
    • Michael E. Brandt
    • G01R33/56G06F19/00G06T5/00A61B5/055
    • G06T7/0081G01R33/56G06K9/38G06K9/6223G06T7/606G01R33/5608G06F19/321G06F19/3487G06K2209/051G06T2207/10088G06T2207/30016Y10S128/925
    • A fuzzy logic approach to the problem of distinguishing cerebrospinal fluid, gray and white matter pixels in magnetic resonance images of the brain. An unsupervised fuzzy clustering procedure based on a variant of the fuzzy c-means algorithm computes automatically, with virtually no operator intervention, the percentage area of each of these three compartments in each image. Each volume element represented in the image can belong to all compartments in varying degrees. The procedure requires input of the number of different compartments in the image, as well as a parameter which determines the amount of overlap of compartment boundaries. Preliminary data processing involves noise removal from images by highpass filtering. The final solution is substantially independent of required initial estimates of the gray scale values that are most representative of the white, gray and cerebrospinal fluid compartments in the image. The method is useful in the diagnosis of hydrocephalus.
    • 一种模糊逻辑方法,用于区分大脑磁共振图像中的脑脊液,灰色和白质像素。 基于模糊c均值算法的变体的无监督模糊聚类程序自动计算,几乎没有操作员干预,每个图像中这三个区间中的每一个的百分比面积。 在图像中表示的每个体积元素可以以不同程度属于所有隔室。 该过程需要输入图像中不同隔室的数量,以及确定隔室边界重叠量的参数。 初步数据处理涉及通过高通滤波从图像中去除噪声。 最终的解决方案基本上与图像中白色,灰色和脑脊液隔室最具代表性的灰度值的所需初始估计值无关。 该方法可用于脑积水的诊断。