Technical note: Testing different 3D techniques using geometric morphometrics: Implications for cranial fluctuating asymmetry in humans
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Technical note: Testing different 3D techniques using geometric morphometrics: Implications for cranial fluctuating asymmetry in humans. / Olsen, Trine Bottos; García-Martínez, Daniel; Villa, Chiara.
In: American Journal of Physical Anthropology, Vol. 180, No. 1, 2023, p. 224-234.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Technical note: Testing different 3D techniques using geometric morphometrics: Implications for cranial fluctuating asymmetry in humans
AU - Olsen, Trine Bottos
AU - García-Martínez, Daniel
AU - Villa, Chiara
PY - 2023
Y1 - 2023
N2 - This study aimed to test the performance of 3D digitizer, CT scanner, and surface scanner in detecting cranial fluctuating asymmetry. Sets of 32 landmarks (6 in the midline and 13 bilateral) were acquired from 14 archeological crania using a 3D digitizer, and from 3D models generated from a CT scanner and surface scanner using Viewbox 4. Levels of shape variation were analyzed in MorphoJ using Procrustes analysis of variance and Principal component analysis. Intra-observer error accounted for 1.7%, 1.8%, and 4.5% of total shape variation for 3D digitizer, CT scanner, and surface scanner respectively. Fluctuating asymmetry accounted for 15%–16% of total shape variation. Variation between techniques accounted for 18% of total shape variation. We found a higher level of missing landmarks in our surface scan data than for both 3D digitizer and CT scanner data, and both 3D model-based techniques sometimes obscured taphonomic damage. All three 3D techniques are appropriate for measuring cranial fluctuating asymmetry. We advise against combining data collected with different techniques.
AB - This study aimed to test the performance of 3D digitizer, CT scanner, and surface scanner in detecting cranial fluctuating asymmetry. Sets of 32 landmarks (6 in the midline and 13 bilateral) were acquired from 14 archeological crania using a 3D digitizer, and from 3D models generated from a CT scanner and surface scanner using Viewbox 4. Levels of shape variation were analyzed in MorphoJ using Procrustes analysis of variance and Principal component analysis. Intra-observer error accounted for 1.7%, 1.8%, and 4.5% of total shape variation for 3D digitizer, CT scanner, and surface scanner respectively. Fluctuating asymmetry accounted for 15%–16% of total shape variation. Variation between techniques accounted for 18% of total shape variation. We found a higher level of missing landmarks in our surface scan data than for both 3D digitizer and CT scanner data, and both 3D model-based techniques sometimes obscured taphonomic damage. All three 3D techniques are appropriate for measuring cranial fluctuating asymmetry. We advise against combining data collected with different techniques.
U2 - 10.1002/ajpa.24657
DO - 10.1002/ajpa.24657
M3 - Journal article
C2 - 36790697
VL - 180
SP - 224
EP - 234
JO - American Journal of Physical Anthropology
JF - American Journal of Physical Anthropology
SN - 0002-9483
IS - 1
ER -
ID: 326359815