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

J Digit Imaging

Radiology Department, Ospedale Maggiore di Lodi, Piazzale Donatori di Sangue, Lodi, Italy.

Published: February 2016

AI Article Synopsis

  • The study examines the impact of low-cost 3D printing methods on clinical accuracy, focusing on open-source software and consumer-grade printers.
  • Test objects were scanned using advanced CT technology and converted to 3D models with free software before being printed.
  • The findings indicate that the 3D printed copies are highly accurate, with only a 0.23 mm mean absolute difference from the original objects.

Article 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722024PMC
http://dx.doi.org/10.1007/s10278-015-9810-8DOI Listing

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