PalaeoHub, Department of Archaeology, Hull York Medical School University of York, Heslington, United Kingdom.
Dipartimento di Biologia Ambientale, Sapienza Università di Roma, Rome, Italy.
Am J Phys Anthropol. 2021 Sep;176(1):144-151. doi: 10.1002/ajpa.24340. Epub 2021 Jun 12.
The statistical analysis of fossil remains is essential to understand the evolution of the genus Homo. Unfortunately, the human fossil record is straight away scarce and plagued with severe loss of information caused by taphonomic processes. The recently developed field of Virtual Anthropology helps to ameliorate this situation by using digital techniques to restore damaged and incomplete fossils.
We present the package Arothron, an R software suite meant to process and analyze digital models of skeletal elements. Arothron includes tools to digitally extract virtual cavities such as cranial endocasts, to statistically align disarticulated or broken bony elements, and to visualize local variations between surface meshes and landmark configurations.
We describe the main functionalities of Arothron and illustrate their usage through reproducible case studies. We describe a tool for segmentation of skeletal cavities by showing its application on a malleus bone, a Neanderthal tooth, and a modern human cranium, reproducing their shape and calculating their volume. We illustrate how to digitally align a disarticulated model of a modern human cranium, and how to combine piecemeal shape information on individual specimens into one. In addition, we present useful visualization tools by comparing the morphological differences between the right hemisphere of the Neanderthal and the modern human brain.
The Arothron R package is designed to study digital models of fossil specimens. By using Arothron, scientists can handle digital models with ease, investigate the inner morphology of 3D skeletal models, gain a full representation of the original shapes of damaged specimens, and compare shapes across specimens.
对化石遗骸进行统计学分析对于理解人类属的进化至关重要。不幸的是,人类化石记录直接稀缺,并受到严重的信息缺失的困扰,这些信息缺失是由埋藏学过程造成的。最近发展的虚拟人类学领域通过使用数字技术来恢复受损和不完整的化石,有助于改善这种情况。
我们介绍了 Arothron 软件包,这是一个 R 软件套件,旨在处理和分析骨骼元素的数字模型。Arothron 包括用于数字提取虚拟腔(如颅内腔)的工具,用于统计对齐分离或破碎的骨骼元素的工具,以及用于可视化表面网格和地标配置之间的局部变化的工具。
我们描述了 Arothron 的主要功能,并通过可重现的案例研究说明了它们的用法。我们通过展示其在锤骨、尼安德特人牙齿和现代人颅骨上的应用,描述了一种用于骨骼腔分割的工具,重现了它们的形状并计算了它们的体积。我们说明了如何数字化对齐现代人颅骨的分离模型,以及如何将单个标本的零碎形状信息组合成一个整体。此外,我们通过比较尼安德特人和现代人大脑右半球的形态差异,展示了有用的可视化工具。
Arothron R 软件包旨在研究化石标本的数字模型。通过使用 Arothron,科学家可以轻松处理数字模型,研究 3D 骨骼模型的内部形态,充分代表受损标本的原始形状,并比较标本之间的形状。