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Erschienen in:

2016 | OriginalPaper | Buchkapitel

17. Sparse Spherical Marker Tracking in Volumetric Images: Assessment of Local Measurement Errors

verfasst von : Ning Li, Michael Sutton, Hubert Schreier

Erschienen in: Advancement of Optical Methods in Experimental Mechanics, Volume 3

Verlag: Springer International Publishing

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Abstract

Simulations are performed to assess the potential of sparsely distributed volumetric marker tracking for estimation of local internal deformations. Assuming rigid spherical markers embedded in a compliant matrix, algorithms are developed to accurately locate the centroid of individual markers in both undeformed and deformed positions. To assess variability in the measured marker positions, Monte-Carlo simulations using Gaussian noise in the image data are analyzed. Results for a 2 % Gaussian noise indicate that variability in the marker tracking measurements is a strong function of marker radius and a weak function of sub-voxel marker position.

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Vorheriges Kapitel Correlation of Microscale Deformations to Macroscopic Mechanical Behavior Using Incremental Digital Volume Correlation of In-Situ Tomography

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Titel: Sparse Spherical Marker Tracking in Volumetric Images: Assessment of Local Measurement Errors
verfasst von: Ning Li
Michael Sutton
Hubert Schreier
Verlag: Springer International Publishing
Buch: Advancement of Optical Methods in Experimental Mechanics, Volume 3
Print ISBN: 978-3-319-22445-9

Electronic ISBN: 978-3-319-22446-6

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-22446-6_17

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