Wu Hai-Shan, Salzberg Sacha P, Gil Joan
Department of Pathology, Mount Sinai Medical Center, New York, New York 10029, USA.
Anal Quant Cytol Histol. 2006 Dec;28(6):307-15.
To identify extracellular matrix deposition on combined Masson elastin stains from cross-sectional, fixed vein grafts.
Source vectors from RGB components of color images are transformed into new vectors with most of the energy concentrated in fewer coefficients based on the eigenvalues and eigenvectors of their co-variance matrix so their dimension can be reduced for efficient computation and analysis. The vectors are distributed in a triangular shape in which most vectors are located in a long, narrow strip that can be approximated by a straight line while a separate group of vectors from collagen areas form a loose cluster away from the line. An iterative procedure has been developed for the representative vectors in the 2 centroids for linear and circular clusters. The linear centroid consists of all vectors in a straight line, and the centroid of the circular cluster is a single vector. Vector classification is based on the measure of its distance to each of the 2 centroids.
The automatic segmentation of the collagen content pixels in green-blue matches the image background color.
The procedure automatically quantifies and characterizes the neointimal deposition after surgical vein grafting in mice.
在小鼠横断的、固定的静脉移植物上，通过联合使用马松弹性蛋白染色法来识别细胞外基质沉积。
基于彩色图像RGB分量的源向量，根据其协方差矩阵的特征值和特征向量，将其转换为能量大部分集中在较少系数上的新向量，从而降低其维度，以便进行高效的计算和分析。这些向量呈三角形分布，其中大多数向量位于一条狭长的带状区域，该区域可近似为一条直线，而来自胶原区域的另一组向量则形成一个远离该直线的松散簇。针对线性和圆形簇的两个质心的代表性向量，开发了一种迭代程序。线性质心由直线上的所有向量组成，圆形簇的质心是单个向量。向量分类基于其到两个质心各自的距离度量。
蓝绿色中胶原含量像素的自动分割与图像背景颜色匹配。
该程序可自动量化并表征小鼠手术静脉移植后的新生内膜沉积。
