Oberholzer M, Christen H, Ettlin R, Buser M, Oestreicher M, Gschwind R
Department of Pathology, University of Basel, Switzerland.
Anal Quant Cytol Histol. 1991 Oct;13(5):316-20.
The aim of this study was (1) to investigate the value of morphometry, (2) to fix a set of parameters suitable for analyzing diagnostic problems, and (3) to create a general strategy for data storage and for user-friendly data management. The intrinsic value of morphometry lies in the fact that in contrast to other morphologic methods, it permits the presentation of findings in the form of numbers. The following set of morphometric parameters, in the broad sense of the term morphometry, is standard in our laboratory: planimetric parameters (shape descriptors), parameters of the gray value histogram (descriptors of the general gray value distribution), texture parameters (descriptors of the correlation between various image segments), invariant moments (descriptors of the size and localization of textural image segments) and densitometric parameters. The introduction of morphometric procedures into the daily routine is facilitated if data registration and evaluation are performed separately. Original data generated by direct measurement are primary or raw data, which are stored as such. In a separate, second step these raw data are used to compare more or less complex morphometric parameters, which are called "secondary data". A system designed for separate data registration and evaluation can easily be adapted to new methodologic developments. For instance, primary data on objects (gray values, coordinates of the contour) measured one time in the past can be reused at any other time for computing new features from these data. This procedure is comparable to the possibilities in immunohistochemical staining: new immunohistochemical stains can be applied to newly prepared sections of old tissue blocks.
（1）研究形态测量学的价值；（2）确定一组适用于分析诊断问题的参数；（3）创建一种数据存储和用户友好型数据管理的通用策略。形态测量学的内在价值在于，与其他形态学方法相比，它允许以数字形式呈现研究结果。在我们实验室，从广义的形态测量学角度来看，以下这组形态测量参数是标准的：平面测量参数（形状描述符）、灰度值直方图参数（一般灰度值分布的描述符）、纹理参数（不同图像片段之间相关性的描述符）、不变矩（纹理图像片段大小和定位的描述符）以及密度测量参数。如果数据记录和评估分开进行，将有助于把形态测量程序引入日常工作。通过直接测量生成的原始数据是初级或原始数据，并按原样存储。在单独的第二步中，这些原始数据用于比较或多或少复杂的形态测量参数，这些参数被称为“二级数据”。一个为单独的数据记录和评估而设计的系统可以很容易地适应新的方法学发展。例如，过去某一次测量的关于物体的原始数据（灰度值、轮廓坐标）可以在任何其他时间重新用于从这些数据计算新的特征。这个过程类似于免疫组织化学染色中的情况：新的免疫组织化学染色可以应用于旧组织块新制备的切片上。
