Quantifying avian inertial properties using calibrated computed tomography

Nicholas E. Durston, Yusuf Mahadik, Shane P Windsor*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

11 Citations (Scopus)
114 Downloads (Pure)

Abstract

Estimating centre of mass and mass moments of inertia is an important aspect of many studies in biomechanics. Characterising these parameters accurately in three dimensions is challenging with traditional methods requiring dissection or suspension of cadavers. Here, we present a method to quantify the three-dimensional centre of mass and inertia tensor of birds of prey using calibrated computed tomography (CT) scans. The technique was validated using several independent methods, providing body segment mass estimates within approximately 1\.993 R2 correlation with conventional trifilar pendulum measurements. Calibrated CT offers a relatively straightforward, non-destructive approach that yields highly detailed mass distribution data that can be used for three-dimensional dynamics modelling in biomechanics. Although demonstrated here with birds, this approach should work equally well with any animal or appendage capable of being CT scanned.
Original languageEnglish
Article numberjeb.242280
JournalJournal of Experimental Biology
Volume225
Issue number1
DOIs
Publication statusPublished - 4 Jan 2022

Bibliographical note

Funding Information:
This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 679355 to S.P.W.); and a Doctoral Training Grant (to N.E.D.) from the Engineering and Physical Sciences Research Council (EPSRC). Open access funding provided by University of Bristol. Deposited in PMC for immediate release.

Funding Information:
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 679355 to S.P.W.); and a Doctoral Training Grant (to N.E.D.) from the Engineering and Physical Sciences Research Council (EPSRC). Open access funding provided by University of Bristol. Deposited in PMC for immediate release.

Publisher Copyright:
© 2022. Published by The Company of Biologists Ltd

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