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Erschienen in: Journal of Digital Imaging 1/2016

01.02.2016

3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow

verfasst von: Chandra Bortolotto, Esmeralda Eshja, Caterina Peroni, Matteo A. Orlandi, Nicola Bizzotto, Paolo Poggi

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 1/2016

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Abstract

The broad availability of cheap three-dimensional (3D) printing equipment has raised the need for a thorough analysis on its effects on clinical accuracy. Our aim is to determine whether the accuracy of 3D printing process is affected by the use of a low-budget workflow based on open source software and consumer’s commercially available 3D printers. A group of test objects was scanned with a 64-slice computed tomography (CT) in order to build their 3D copies. CT datasets were elaborated using a software chain based on three free and open source software. Objects were printed out with a commercially available 3D printer. Both the 3D copies and the test objects were measured using a digital professional caliper. Overall, the objects’ mean absolute difference between test objects and 3D copies is 0.23 mm and the mean relative difference amounts to 0.55 %. Our results demonstrate that the accuracy of 3D printing process remains high despite the use of a low-budget workflow.
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Metadaten
Titel
3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow
verfasst von
Chandra Bortolotto
Esmeralda Eshja
Caterina Peroni
Matteo A. Orlandi
Nicola Bizzotto
Paolo Poggi
Publikationsdatum
01.02.2016
Verlag
Springer US
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 1/2016
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-015-9810-8

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