Cumulative inaccuracies in implementation of additive manufacturing through medical imaging, 3D thresholding, and 3D modeling: A case study for an end-use implant

Jan Sher Akmal, Mika Salmi, Björn Hemming, Linus Teir, Anni Suomalainen, Mika Kortesniemi, Jouni Partanen, Antti Lassila

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

In craniomaxillofacial surgical procedures, an emerging practice adopts the preoperative virtual planning that uses medical imaging (computed tomography), 3D thresholding (segmentation), 3D modeling (digital design), and additive manufacturing (3D printing) for the procurement of an end-use implant. The objective of this case study was to evaluate the cumulative spatial inaccuracies arising from each step of the process chain when various computed tomography protocols and thresholding values were independently changed. A custom-made quality assurance instrument (Phantom) was used to evaluate the medical imaging error. A sus domesticus (domestic pig) head was analyzed to determine the 3D thresholding error. The 3D modeling error was estimated from the computer-aided design software. Finally, the end-use implant was used to evaluate the additive manufacturing error. The results were verified using accurate measurement instruments and techniques. A worst-case cumulative error of 1.7 mm (3.0%) was estimated for one boundary condition and 2.3mm(4.1%) for two boundary conditions considering the maximum length (56.9 mm) of the end-use implant. Uncertainty from the clinical imaging to the end-use implant was 0.8 mm (1.4%). This study helps practitioners establish and corroborate surgical practices that are within the bounds of an appropriate accuracy for clinical treatment and restoration.

Original languageEnglish
Article number2968
JournalApplied Sciences (Switzerland)
Volume10
Issue number8
DOIs
Publication statusPublished - 1 Apr 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • 3D printing
  • CAD
  • Computed tomography (CT)
  • Craniomaxillofacial surgery
  • Cumulative error
  • Digital design
  • Error propagation
  • Implants
  • Medical imaging
  • Quality assurance
  • Quality control
  • Segmentation
  • Spatial accuracy
  • Standard uncertainty

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