Surface deformation tracking and modelling of soft materials.

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dc.contributor.author Parker, Matthew D en
dc.contributor.author Babarenda Gamage, Thiranja en
dc.contributor.author Haji Rassouliha, Amir en
dc.contributor.author Taberner, Andrew en
dc.contributor.author Nash, Martyn en
dc.contributor.author Nielsen, Poul en
dc.date.accessioned 2020-01-12T22:55:01Z en
dc.date.issued 2019-08 en
dc.identifier.citation Biomechanics and modeling in mechanobiology 18(4):1031-1045 Aug 2019 en
dc.identifier.issn 1617-7959 en
dc.identifier.uri http://hdl.handle.net/2292/49611 en
dc.description.abstract Many computer vision algorithms have been presented to track surface deformations, but few have provided a direct comparison of measurements with other stereoscopic approaches and physics-based models. We have previously developed a phase-based cross-correlation algorithm to track dense distributions of displacements over three-dimensional surfaces. In the present work, we compare this algorithm with one that uses an independent tracking system, derived from an array of fluorescent microspheres. A smooth bicubic Hermite mesh was fitted to deformations obtained from the phase-based cross-correlation data. This mesh was then used to estimate the microsphere locations, which were compared to stereo reconstructions of the microsphere positions. The method was applied to a 35 mm × 35 mm × 35 mm soft silicone gel cube under indentation, with three square bands of microspheres placed around the indenter tip. At an indentation depth of 4.5 mm, the root-mean-square (RMS) differences between the reconstructed positions of the microspheres and their identified positions for the inner, middle, and outer bands were 60 µm, 20 µm, and 19 µm, respectively. The usefulness of the strain-tracking data for physics-based finite element modelling of large deformation mechanics was then demonstrated by estimating a neo-Hookean stiffness parameter for the gel. At the optimal constitutive parameter estimate, the RMS difference between the measured microsphere positions and their finite element model-predicted locations was 143 µm. en
dc.format.medium Print-Electronic en
dc.language eng en
dc.relation.ispartofseries Biomechanics and modeling in mechanobiology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://www.springer.com/gp/open-access/publication-policies/self-archiving-policy en
dc.subject Microspheres en
dc.subject Phantoms, Imaging en
dc.subject Surface Properties en
dc.subject Robotics en
dc.subject Finite Element Analysis en
dc.subject Models, Biological en
dc.subject Image Processing, Computer-Assisted en
dc.title Surface deformation tracking and modelling of soft materials. en
dc.type Journal Article en
dc.identifier.doi 10.1007/s10237-019-01127-3 en
pubs.issue 4 en
pubs.begin-page 1031 en
pubs.volume 18 en
dc.rights.holder Copyright: Springer-Verlag GmbH Germany, part of Springer Nature 2019 en
pubs.end-page 1045 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Journal Article en
pubs.elements-id 763930 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
pubs.org-id Engineering en
pubs.org-id Engineering Science en
pubs.org-id Science en
pubs.org-id Science Research en
pubs.org-id Maurice Wilkins Centre (2010-2014) en
dc.identifier.eissn 1617-7940 en
pubs.record-created-at-source-date 2019-02-20 en
pubs.dimensions-id 30778884 en


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