Raw Data - A Freeware, Equitable Approach to Dental Topographic Analysis
Morley, M. and Berthaume, M. (2023). Raw Data - A Freeware, Equitable Approach to Dental Topographic Analysis. London South Bank University. https://doi.org/10.18744/lsbu.93322
|Authors||Morley, M. and Berthaume, M.|
Dental topographic analysis has proved a valuable tool for quantifying dental morphology. Established workflows use proprietary software for pre-processing dental surfaces, rendering the method expensive and inaccessible. This study explores the use of freeware pre-processing alternatives.
|Keywords||Dental Topographic Analysis, Freeware, Smoothing, Meshlab, molaR|
|Publisher||London South Bank University|
|Digital Object Identifier (DOI)||https://doi.org/10.18744/lsbu.93322|
Surface files of 25 different platyrrhine and prosimian lower second molars, having undergone simplification and smoothing with several different tools and settings. Also contained are spreadsheets containing dental topographic metrics of these surfaces, and results of statistical analysis of these metrics.
File Access Level
|Data collection period||11 Dec 2020 to end of 20 Sep 2022|
|Data collection method|
Surface files were initially downloaded from Morphosource.org, a 3D data repository - published under a Creative Commons - Attribution license (CC-BY-NC-4.0). Files were created by Doug Boyer of Stony Brook University, New York. MicroCT scans were taken of teeth, and these scans were subsequently segmented in Avizo, generating 3D surface files.
|Data preparation and processing activities|
Surface files were rotated and any stray data points removed, and underwent simplification and smoothing with several different tools and settings. Surfaces were then imported to the molaR package in Rstudio, where morphological metrics were obtained. These metrics were exported to .csv format, and statistical analysis (Shapiro-Wilks, Wlicoxon Signed Rank and Student's T tests) was conducted on them.
|Publication process dates|
|Deposited||10 Feb 2023|
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