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The reliability of foot and ankle bone and joint kinematics measured with biplanar videoradiography and manual scientific rotoscoping

journal contribution
posted on 18.12.2020, 00:52 by Jayishni Maharaj, S Kessler, MJ Rainbow, SE D’Andrea, N Konow, LA Kelly, GA Lichtwark
© Copyright © 2020 Maharaj, Kessler, Rainbow, D’Andrea, Konow, Kelly and Lichtwark. The intricate motion of the small bones of the feet are critical for its diverse function. Accurately measuring the 3-dimensional (3D) motion of these bones has attracted much attention over the years and until recently, was limited to invasive techniques or quantification of functional segments using multi-segment foot models. Biplanar videoradiography and model-based scientific rotoscoping offers an exciting alternative that allows us to focus on the intricate motion of individual bones in the foot. However, scientific rotoscoping, the process of rotating and translating a 3D bone model so that it aligns with the captured x-ray images, is either semi- or completely manual and it is unknown how much human error affects tracking results. Thus, the aim of this study was to quantify the inter- and intra-operator reliability of manually rotoscoping in vivo bone motion of the tibia, talus, and calcaneus during running. Three-dimensional CT bone volumes and high-speed biplanar videoradiography images of the foot were acquired on six participants. The six-degree-of-freedom motions of the tibia, talus, and calcaneus were determined using a manual markerless registration algorithm. Two operators performed the tracking, and additionally, the first operator re-tracked all bones, to test for intra-operator effects. Mean RMS errors were 1.86 mm and 1.90° for intra-operator comparisons and 2.30 mm and 2.60° for inter-operator comparisons across all bones and planes. The moderate to strong similarity values indicate that tracking bones and joint kinematics between sessions and operators is reliable for running. These errors are likely acceptable for defining gross joint angles. However, this magnitude of error may limit the capacity to perform advanced analyses of joint interactions, particularly those that require precise (sub-millimeter) estimates of bone position and orientation. Optimizing the view and image quality of the biplanar videoradiography system as well as the automated tracking algorithms for rotoscoping bones in the foot are required to reduce these errors and the time burden associated with the manual processing.

Funding

This project was funded by the Australian Research Council (ARC) Discovery Grant (DP160101117) and the UQ Collaborative Industry Engagement Fund in collaboration with Asics Oceania.

History

School

  • School of Allied Health

Publication Date

10/03/2020

Journal

Frontiers in Bioengineering and Biotechnology

Volume

8

Article Number

106

Pagination

11p. (p. 1-11)

Publisher

Frontiers Media

ISSN

2296-4185

Rights Statement

The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

Licence

Exports