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A semi-automatic algorithm for measurement of basement membrane thickness in kidneys in electron microscopy images.

机译:半自动算法,用于在电子显微镜图像中测量肾脏的基底膜厚度。

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摘要

In this paper, we present a semi-automatic algorithm for measurement of the glomerular basement membrane thickness in electron microscopy kidney images. A string of sparsely spaced points are manually inputted along the central line of the basement membrane (lamina densa) to be measured. The gaps between successive input points are lineally interpolated. A nonlinear mapping is applied to straighten the curved central line. Two distance functions of edges to the central line are constructed. The smooth envelope lines are obtained by repetitive applications of a linear low-pass filtering followed by a comparing and selecting process. The boundaries of the glomerular basement membrane are obtained from the inverse mapping of the envelope functions. The average basement membrane thickness is estimated as the ratio of the basement membrane area to the length of the central line.
机译:在本文中,我们提出了一种在电子显微镜肾脏图像中测量肾小球基底膜厚度的半自动算法。沿着要测量的基底膜(lamina densa)的中心线手动输入一串稀疏的点。连续输入点之间的间隙被线性插值。应用非线性映射来拉直弯曲的中心线。构造了边缘到中心线的两个距离函数。通过重复应用线性低通滤波,然后进行比较和选择过程,可获得平滑的包络线。肾小球基底膜的边界是从包络函数的逆映射获得的。平均基底膜厚度估计为基底膜面积与中心线长度之比。

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