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

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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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All human and animal studies have been approved and performed in accordance with ethical standards, and informed consent was obtained.

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Correspondence to Chandra Bortolotto.

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Bortolotto, C., Eshja, E., Peroni, C. et al. 3D Printing of CT Dataset: Validation of an Open Source and Consumer-Available Workflow. J Digit Imaging 29, 14–21 (2016). https://doi.org/10.1007/s10278-015-9810-8

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  • DOI: https://doi.org/10.1007/s10278-015-9810-8

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