School of Mechanical Engineering and Jiangsu Key Laboratory for Design and Manufacture of Micro/Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing, 211189, Jiangsu, China.
Design of Innovative Machines Lab, Department of Mechanical and Aerospace Engineering, University of Dayton, Dayton, OH, 45469, USA.
Sci Rep. 2021 Nov 2;11(1):21479. doi: 10.1038/s41598-021-00911-5.
Morphometrics is a multivariate technique for shape analysis widely employed in biological, medical, and paleoanthropological applications. Commonly used morphometric methods require analyzing a huge amount of variables for problems involving a large number of specimens or complex shapes. Moreover, the analysis results are sometimes difficult to interpret and assess. This paper presents a methodology to synthesize a shape-changing chain for 2D or 3D curve fitting and to employ the chain parameters in stepwise discriminant analysis (DA). The shape-changing chain is comprised of three types of segments, including rigid segments that have fixed length and shape, scalable segments with a fixed shape, and extendible segments with constant curvature and torsion. Three examples are presented, including 2D mandible profiles of fossil hominin, 2D leaf outlines, and 3D suture curves on infant skulls. The results demonstrate that the shape-changing chain has several advantages over common morphometric methods. Specifically, it can be applied to a wide range of 2D or 3D profiles, including open or closed curves, and smooth or serrated curves. Additionally, the segmentation of profiles is a flexible and automatic protocol that can consider both biological and geometric features, the number of variables obtained from the fitting results for statistical analysis is modest, and the chain parameters that characterize the profiles can have physical meaning.
形态测量学是一种广泛应用于生物、医学和古人类学领域的形状分析多元技术。常用的形态测量方法需要分析大量的变量,适用于涉及大量样本或复杂形状的问题。此外,分析结果有时难以解释和评估。本文提出了一种将形状变化链应用于 2D 或 3D 曲线拟合,并将链参数应用于逐步判别分析(DA)的方法。形状变化链由三种类型的段组成,包括具有固定长度和形状的刚性段、具有固定形状的可缩放段和具有恒定曲率和扭转的可扩展段。本文提出了三个示例,包括化石人类下颌骨的 2D 轮廓、2D 叶片轮廓和婴儿颅骨上的 3D 缝合线曲线。结果表明,形状变化链相对于常见的形态测量方法具有几个优势。具体来说,它可以应用于广泛的 2D 或 3D 轮廓,包括开放或封闭曲线以及平滑或锯齿曲线。此外,轮廓的分段是一种灵活且自动的协议,可以考虑生物学和几何特征,从拟合结果获得的用于统计分析的变量数量适中,并且可以赋予具有物理意义的轮廓特征的链参数。