Considerations for Post-processing Parameters in Mixed-Method 3D Analyses: A Mesolithic Mandibular Case Study. Issue 4 (November 2021)

• Record Type: Journal Article
• Authors: Selden, Robert Z.; Butaric, Lauren N.; Bergstrom, Kersten; Van Gerven, Dennis
• Is Part Of: Advances in archaeological practice. Volume 9:Issue 4(2021)
• Page Start: 325
• Page End: 337
• Publication Date: 2021-11
• Subjects: archaeoinformatics -- computational archaeology -- geometric morphometrics -- digital humanities -- museum studies; arqueoinformática -- arqueología computacional -- morfometría geométrica -- humanidades digitales -- estudios de museo; Archaeology -- Methodology -- Periodicals; Archaeology -- Technological innovations -- Periodicals; Archaeology -- Periodicals; Electronic journals; Periodicals; 930.1028
• DOI: 10.1017/aap.2021.18
• Languages: English
• ISSNs: 2326-3768

Abstract

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.