Effects of cropping, smoothing, triangle count, and mesh resolution on 6 dental topographic metrics

Journal article


Berthaume, M., Winchester, J. and Kupczik, K (2019). Effects of cropping, smoothing, triangle count, and mesh resolution on 6 dental topographic metrics. PLoS ONE. 14 (5), p. e0216229.
AuthorsBerthaume, M., Winchester, J. and Kupczik, K
Abstract

Dental topography is a widely used method for quantifying dental morphology and inferring dietary ecology in animals. Differences in methodology have brought into question the comparability of different studies. Using primate mandibular second molars, we investigated the effects of mesh preparation parameters smoothing, cropping, and triangle count/mesh resolution (herein, resolution) on six topographic variables (Dirichlet normal energy, DNE; orientation patch count rotated, OPCR; relief index, RFI; ambient occlusion, portion de ciel visible, PCV; enamel surface area, SA; tooth size) to determine the effects of smoothing, cropping, and triangle count/resolution on topographic values and the relationship between these values and diet. All topographic metrics are sensitive to smoothing, cropping method,
and triangle count/resolution. In general, smoothing decreased DNE, OPCR, RFI, and SA,increased PCV, and had no predictable effect on tooth size. Relative to the basin cut off (BCO) cropping method, the entire enamel cap (EEC) method increased RFI, SA, and size, and had no predictable effect on DNE and OPCR. Smoothing and cropping affected DNE/
OPCR and surfaces with low triangle counts more than other metrics and surfaces with high triangle counts. There was a positive correlation between DNE/OPCR and triangle count/
resolution, and the rate of increase was weakly correlated to diet. PCV tended to converge or decrease with increases in triangle count/resolution, and RFI, SA, and size converged.
Finally, there appears to be no optimal triangle count or resolution for predicting diet from this sample, and constant triangle count appeared to perform better than constant resolution for predicting diet.

Year2019
JournalPLoS ONE
Journal citation14 (5), p. e0216229
PublisherPublic Library of Science
ISSN1932-6203
Digital Object Identifier (DOI)doi:10.1371/journal.pone.0216229
Publication dates
Print06 May 2019
Publication process dates
Accepted16 Apr 2019
Deposited13 Nov 2019
Publisher's version
License
CC BY 4.0
File Access Level
Open
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https://openresearch.lsbu.ac.uk/item/8875y

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