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

Chandra BortolottoEsmeralda EshjaCaterina PeroniMatteo A OrlandiNicola BizzottoPaolo Poggi
Published in: Journal of digital imaging (2017)
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.
Keyphrases
  • computed tomography
  • image quality
  • dual energy
  • contrast enhanced
  • positron emission tomography
  • magnetic resonance imaging
  • electronic health record
  • health information
  • data analysis
  • healthcare
  • low cost