Raw Data - A Freeware, Equitable Approach to Dental Topographic Analysis

Dataset

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
AuthorsMorley, M. and Berthaume, M.
Abstract

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.
We tested 4 decimation tools and 13 smoothing tools across 7 different freeware packages. Although surfaces generated via proprietary software could not be replicated, it was possible to obtain statistically similar topographic metrics in freeware to those obtained via proprietary means. Based on this investigation, we present a freeware workflow, via which researchers may conduct dental topographic analysis equitably, and with the expectation that their data will be comparable to that obtained via established proprietary methods.

KeywordsDental Topographic Analysis, Freeware, Smoothing, Meshlab, molaR
Year2023
PublisherLondon South Bank University
Digital Object Identifier (DOI)https://doi.org/10.18744/lsbu.93322
Data files
License
File description
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.
Data type
Archive
Contents
Data
File Access Level
Open
Data collection period11 Dec 2020 to end of 20 Sep 2022
Geographic location
London, UK
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
Deposited10 Feb 2023
Permalink -

https://openresearch.lsbu.ac.uk/item/93322

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Data files
Freeware DTA Data.zip
License: CC BY-NC 4.0
File access level: Open

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