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颅面生长不变量的几何学

The geometry of craniofacial growth invariants.

作者信息

Bookstein F L

出版信息

Am J Orthod. 1983 Mar;83(3):221-34. doi: 10.1016/0002-9416(83)90086-6.

Abstract

In the description of craniofacial growth it is crucial to identify constant geometric relations. The search leads to complex manipulations of coordinate data from cephalograms. In the regularities that he finds, the clinician must be aware of the difference between empirical contingency and geometric necessity. For instance, common procedures for identifying centers away from which growth proceeds radially (the "polar phenomenon") ignore theorems about the indeterminacy of such centers. The scan for growth invariants in configurations of landmarks should be based on the method of tensor analysis. Any shape change may be summarized in terms of two directions in each triangle of landmarks. The directions are at 90 degrees in each triangle both before growth and after; one of them bears the greatest percent rate of change of length of all directions in the triangle, and the other bears the least. From a diagram of these axes one comes immediately to strict invariants of the shape change--specific angles and proportions along segments defined by relations between the triangle and the axes--linked to other specific angles and proportions which change most rapidly. It is simple to adapt this machinery so that it can deal with average shape changes in populations. Included here are two examples of the technique: (1) extracting the statistically most stable definition of "growth axis" (displacement of menton from cranial base) in children aged 6 to 14 years and (2) describing the shape change of the rat calvarium between the ages of 7 days and 150 days. Such descriptions should be the first step in designing any cephalometric analysis.

摘要

在颅面生长的描述中,识别恒定的几何关系至关重要。这一探索过程涉及对头影测量坐标数据的复杂处理。在他所发现的规律中,临床医生必须意识到经验偶然性与几何必然性之间的差异。例如,确定生长呈放射状向外扩展的中心(“极现象”)的常见方法忽略了关于此类中心不确定性的定理。在地标配置中寻找生长不变量应基于张量分析方法。任何形状变化都可以用每个地标三角形中的两个方向来概括。在生长前后,每个三角形中的这两个方向均呈90度;其中一个方向在三角形所有方向中的长度变化率最大,另一个方向的长度变化率最小。从这些轴的图表中可以立即得出形状变化的严格不变量——沿着由三角形与轴之间的关系所定义的线段的特定角度和比例——与变化最迅速的其他特定角度和比例相关联。调整这套方法使其能够处理群体中的平均形状变化很简单。这里给出该技术的两个示例:(1)提取6至14岁儿童中“生长轴”(颏点相对于颅底的位移)的统计学上最稳定的定义,以及(2)描述7日龄至150日龄大鼠颅骨的形状变化。此类描述应是设计任何头影测量分析的第一步。

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