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      Using virtual reality for anatomical landmark annotation in geometric morphometrics

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          Abstract

          To study the shape of objects using geometric morphometrics, landmarks are oftentimes collected digitally from a 3D scanned model. The expert may annotate landmarks using software that visualizes the 3D model on a flat screen, and interaction is achieved with a mouse and a keyboard. However, landmark annotation of a 3D model on a 2D display is a tedious process and potentially introduces error due to the perception and interaction limitations of the flat interface. In addition, digital landmark placement can be more time-consuming than direct annotation on the physical object using a tactile digitizer arm. Since virtual reality (VR) is designed to more closely resemble the real world, we present a VR prototype for annotating landmarks on 3D models. We study the impact of VR on annotation performance by comparing our VR prototype to Stratovan Checkpoint, a commonly used commercial desktop software. We use an experimental setup, where four operators placed six landmarks on six grey seal ( Halichoerus grypus) skulls in six trials for both systems. This enables us to investigate multiple sources of measurement error. We analyse both for the configuration and for single landmarks. Our analysis shows that annotation in VR is a promising alternative to desktop annotation. We find that annotation precision is comparable between the two systems, with VR being significantly more precise for one of the landmarks. We do not find evidence that annotation in VR is faster than on the desktop, but it is accurate.

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          Most cited references44

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          geomorph: anrpackage for the collection and analysis of geometric morphometric shape data

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            Generalized procrustes analysis

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              Geometric morphometrics: Ten years of progress following the ‘revolution’

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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                7 February 2022
                2022
                : 10
                : e12869
                Affiliations
                [1 ]Department of Applied Mathematics and Computer Science, Technical University of Denmark , Kgs. Lyngby, Denmark
                [2 ]Department of Psychology, University of Copenhagen , Copenhagen, Denmark
                [3 ]Globe Institute, University of Copenhagen , Copenhagen, Denmark
                [4 ]Department of Ecoscience, Aarhus University , Roskilde, Denmark
                Author information
                http://orcid.org/0000-0003-1237-2066
                http://orcid.org/0000-0001-6716-6345
                http://orcid.org/0000-0002-0603-3669
                http://orcid.org/0000-0001-6734-5570
                http://orcid.org/0000-0002-0068-8170
                Article
                12869
                10.7717/peerj.12869
                8830334
                89d28737-3985-4ee4-bfcf-b7f2f387e065
                © 2022 Messer et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 27 October 2021
                : 10 January 2022
                Funding
                The authors received no funding for this work.
                Categories
                Zoology
                Data Science

                virtual morphology,virtual reality,stratovan checkpoint,3d annotation,geometric morphometrics,measurement error,halichoerus grypus

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