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Considerations for Post-processing Parameters in Mixed-Method 3D Analyses

A Mesolithic Mandibular Case Study

Published online by Cambridge University Press:  23 November 2021

Robert Z. Selden Jr. Open the ORCID record for Robert Z. Selden Jr. [Opens in a new window] ,
Lauren N. Butaric Open the ORCID record for Lauren N. Butaric [Opens in a new window] ,
Kersten Bergstrom Open the ORCID record for Kersten Bergstrom [Opens in a new window]  and
Dennis Van Gerven
Robert Z. Selden Jr.*
Affiliation:
Heritage Research Center and Department of Biology, Stephen F. Austin State University, Nacogdoches, TX, USA Cultural Heritage Department, Jean Monnet University, Saint-Étienne, France
Lauren N. Butaric
Affiliation:
Department of Anatomy, Des Moines University, Des Moines, IA, USA
Kersten Bergstrom
Affiliation:
Department of Anthropology, Texas A&M University, College Station, TX, USA; School of Biological Sciences, Washington State University Tri-Cities, Richland, WA, USA
Dennis Van Gerven
Affiliation:
Department of Anthropology, University of Colorado, Boulder, CO, USA
*
(zselden@sfasu.edu, corresponding author)
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Abstract

The production of three-dimensional (3D) digital meshes of surface and computed tomographic (CT) data has become widespread in morphometric analyses of anthropological and archaeological data. Given that processing methods are not standardized, this leaves questions regarding the comparability of processed and digitally curated 3D datasets. The goal of this study was to identify those processing parameters that result in the most consistent fit between CT-derived meshes and a 3D surface model of the same human mandible. Eight meshes, each using unique thresholding and smoothing parameters, were compared to assess whole-object deviations, deviations along curves, and deviations between specific anatomical features on the surface model when compared with the CT scans using a suite of comparison points. Based on calculated gap distances, the mesh that thresholded at “0” with an applied smoothing technique was found to deviate least from the surface model, although it is not the most biologically accurate. Results have implications for aggregated studies that employ multimodal 3D datasets, and caution is recommended for studies that enlist 3D data from websites and digital repositories, particularly if processing parameters are unknown or derived for studies with different research foci.

La producción de mallas digitales tridimensionales (3D) de superficie e información tomográfica computarizada (TC) se ha generalizado en los analisis morfométricos de datos antropológicos y arqueológicos. Dado que los métodos de procesamiento no están estandarizados quedan dudas sobre la comparabilidad de conjuntos de datos 3D procesados y curados digitalmente. El objetivo de este estudio fue identificar los parámetros de procesamiento que tienen la compatibilidad más consistente entre mallas derivadas de TC y un modelo de superficie 3D de la misma mandibula humana. Fueron comparadas ocho mallas cada una con parámetros únicos de umbralización y suavizado, para evaluar las desviaciones de todo el objeto, las desviaciones a lo largo de las curvas y las desviaciones entre características anatómicas específicas en el modelo de superficie, en comparación con cada una de las tomografías computarizadas utilizando un conjunto de puntos de comparación. Con base en las distancias de separación calculadas, aunque no las más precisas desde el punto de vista biológico, se encontró que la malla con umbral en “0” con una técnica de suavizado aplicada se desvía menos de la superficie modelo. Los resultados tienen implicaciones para los estudios agregados que emplean conjuntos de datos 3D multimodales y se recomienda precaución para los estudios que incluyen datos 3D de sitios web y repositorios digitales, especialmente si los parámetros de procesamiento son desconocidos o derivados de estudios con diferentes focos de investigación.

Keywords

archaeoinformaticscomputational archaeologygeometric morphometricsdigital humanitiesmuseum studiesarqueoinformáticaarqueología computacionalmorfometría geométricahumanidades digitalesestudios de museo
Type
Article
Information
Advances in Archaeological Practice , Volume 9 , Issue 4 , November 2021 , pp. 325 - 337
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of Society for American Archaeology

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