EquiSim

An Open-Source Articulatable Statistical Model of the Equine Distal Limb

Journal Article (2021)
Author(s)

Jeroen Van Houtte (Universiteit Antwerpen)

Filip Vandenberghe (Equine Hospital Bosdreef, Moerbeke-Waas)

Guoyan Zheng (Shanghai Jiao Tong University)

T. Huysmans (Universiteit Antwerpen, TU Delft - Human Factors)

Jan Sijbers (Universiteit Antwerpen)

Research Group
Human Factors
Copyright
© 2021 Jeroen Van Houtte, Filip Vandenberghe, Guoyan Zheng, T. Huysmans, Jan Sijbers
DOI related publication
https://doi.org/10.3389/fvets.2021.623318
More Info
expand_more
Publication Year
2021
Language
English
Copyright
© 2021 Jeroen Van Houtte, Filip Vandenberghe, Guoyan Zheng, T. Huysmans, Jan Sijbers
Research Group
Human Factors
Volume number
8
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Most digital models of the equine distal limb that are available in the community are static and/or subject specific; hence, they have limited applications in veterinary research. In this paper, we present an articulatable model of the entire equine distal limb based on statistical shape modeling. The model describes the inter-subject variability in bone geometry while maintaining proper jointspace distances to support model articulation toward different poses. Shape variation modes are explained in terms of common biometrics in order to ease model interpretation from a veterinary point of view. The model is publicly available through a graphical user interface (https://github.com/jvhoutte/equisim) in order to facilitate future digitalization in veterinary research, such as computer-aided designs, three-dimensional printing of bone implants, bone fracture risk assessment through finite element methods, and data registration and segmentation problems for clinical practices.

Files

Fvets_08_623318.pdf
(pdf | 3.58 Mb)
License info not available