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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/18695

Title: Application of clinical imaging and 3D printing to the identification of anomalies in an ancient Egyptian animal mummy
Authors: McKnight, Lidija M.
Adams, Judith E.
Chamberlain, Andrew
Atherton-Woolham, Stephanie D.
Bibb, Richard J.
Keywords: Radiography
Computed tomography
Animal mummy
3D printing
Issue Date: 2015
Publisher: © Elsevier
Citation: MCKNIGHT, L.M. ... et al, 2015. Application of clinical imaging and 3D printing to the identification of anomalies in an ancient Egyptian animal mummy. Journal of Archaeological Science: Reports, 3, pp. 328 - 332.
Abstract: Non-destructive assessment of wrapped mummified animal remains from ancient Egypt using imaging techniques is the most ethically viable manner by which to investigate bundle contents. Bundles studied to date revealed complete and incomplete animal skeletons, multiple individuals (or parts thereof) wrapped together in one bundle, non-skeletal material, organic matter and anomalies of unknown origin. The identification of animal species using imaging alone can be fraught with difficulty, especially in cases in which the skeleton is incomplete and diagnostic elements are lost or significantly damaged.This paper describes the radiographic investigation of a mummy bundle wrapped in the form of a canid, a species closely associated with ancient Egyptian embalming deities. Computed tomography (CT) was performed, and the bundle contents were computer modelled, leading to the production of a laser sintered 3D replica.Imaging identified three skeletal fragments carefully positioned to act as structural support for the bundle however, radiographic data proved inadequate to enable definitive identification of these elements. 3D printing enabled direct comparison with skeletal reference collections and confirmed that the bones were of human origin.This paper demonstrates that imaging of wrapped animal mummy bundles and 3D printing of unidentified elements or non-skeletal anomalies will assist in their accurate identification in a non-destructive manner.
Description: This paper is embargoed until August 2016.
Sponsor: Imaging costs were funded through a Research Endowment Account held in CMFT and the research was supported by a Research Project Grant from the Leverhulme Trust (RPG-2013-142).
Version: Accepted for publication
DOI: 10.1016/j.jasrep.2015.06.028
URI: https://dspace.lboro.ac.uk/2134/18695
Publisher Link: http://dx.doi.org/10.1016/j.jasrep.2015.06.028
ISSN: 2352-409X
Appears in Collections:Closed Access (Design School)

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