Int. J. Metrol. Qual. Eng.
Volume 8, 2017
|Number of page(s)
|30 May 2017
X-ray computed tomography and additive manufacturing in medicine: a review
Manufacturing Metrology Team, Additive Manufacturing and 3D Printing Research Group, University of Nottingham,
NG7 2RD, UK
2 Bioengineering Research Group, University of Nottingham, Nottingham NG7 2RD, UK
⁎ Corresponding author: firstname.lastname@example.org
Accepted: 2 May 2017
The use of X-ray computed tomography (XCT) with additive manufacture (AM) within a medical context is examined in this review. The seven AM process families and various XCT scanning techniques are explained in brief, and the use of these technologies together is detailed over time. The transition of these technologies from a simple method of medical modelling to a robust method of customised implant manufacture is described, and the state-of-the-art for XCT and AM is examined in detail. XCT and AM are identified as having the potential to improve gold standards in both modelling and implant production, and in the conclusions of this review, primary barriers to the increased adoption of AM and XCT technologies are identified in reference to the main applications of XCT and AM technologies. The primary prohibitive factors generally relate to the cost of production across all of the examined applications, as well as the need for further clinical trials in surgical guidance and applications involving implantation.
Key words: X-ray computed tomography / additive manufacture / modelling
© A. Thompson et al., published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.