Landi, Federica and O'Higgins, Paul orcid.org/0000-0002-9797-0809 (2020) Applying Geometric Morphometrics to Digital Reconstruction and Anatomical Investigation. In: Rea, Paul, (ed.) Advances in Experimental Medicine and Biology. Springer , Cham , pp. 55-71.
Abstract
Virtual imaging, image manipulation and morphometric methods are increasingly used in medicine and the natural sciences. Virtual imaging hardware and image manipulation software allows us to readily visualise, explore, alter, repair and study digital objects. This suite of equipment and tools combined with statistical tools for the study of form variation and covariation using Procrustes based analyses of landmark coordinates, geometric morphometrics, makes possible a wide range of studies of human variation pertinent to biomedicine. These tools for imaging, quantifying and analysing form have already led to new insights into organismal growth, development and evolution and offer exciting prospects in future biomedical applications. This chapter presents a review of commonly used methods for digital acquisition, extraction and landmarking of anatomical structures and of the common geometric morphometric statistical methods applied to investigate them: generalised Procrustes analysis to derive shape variables, principal component analysis to examine patterns of variation, multivariate regression to examine how form is influenced
Metadata
Item Type: | Book Section |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © Springer Nature Switzerland AG, 2019. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Hull York Medical School (York) |
Depositing User: | Pure (York) |
Date Deposited: | 12 Dec 2019 16:50 |
Last Modified: | 02 Apr 2025 23:33 |
Published Version: | https://doi.org/10.1007/978-3-030-24281-7 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-3-030-24281-7 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154577 |
Download
Filename: Book_Chaper_Landi_O_Higgins_revised_submission_final.pdf
Description: Book_Chaper_Landi_O'Higgins_revised_submission_final