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A Method for Validation and Error-Quantification of 3D-Printed Models for Acetabulum Fracture Surgery

6 pagesPublished: October 27, 2019

Abstract

Despite the increasing use of 3D printing in orthopedic surgery, there is no established method for the validation of a printed bone model. A printing error could potentially lead to complications, especially when the model is used for surgery planning. We aimed to validate a series of 33 acetabular fractures with a novel method by detailed analysis of model errors.
After applying a surface filter on both the patients model and the 3D printed model, a two-step registration consisting of landmark-based pre-registration and ICP-registration, was slightly varied and conducted 100 times, yielding a mean surface deviation and standard deviation for each model surface point.
We furthermore showed that more than 30 random ICP-registration points lead to a sufficiently good registration, and that the variation of the pre-registration is small enough to guarantee a stable ICP registration result.
Deviations caused by failed registration are unveiled by a large standard deviation of the 100 registration routines. For the fracture series, the mean surface deviation error between the printed model and the patient model was less than 1 mm (median = 0.7 mm; 95% CI = 0.68-0.72 mm). The largest errors were found in areas with remaining support structure material, on printbed-facing model sides and on abrasive surface regions. By visualizing the residual registration error, it was possible to clearly detect surface deviations and to quantify them.

Keyphrases: acetabular fractures, Additive Manufacturing, orthopedic trauma, pelvis, Rapid Prototyping, registration, surface meshes, surgical planning, three-dimensional printing

In: Patrick Meere and Ferdinando Rodriguez Y Baena (editors). CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 3, pages 11--16

Links:
BibTeX entry
@inproceedings{CAOS2019:Method_for_Validation_and,
  author    = {Sebastian Andress and Felix Achilles and Eduardo M. Suero and Christopher Becker and Christoph Linhart and Axel Greiner and Bianka Rubenbauer and Christian Kammerlander and Wolfgang Boecker and Simon Weidert},
  title     = {A Method for Validation and Error-Quantification of 3D-Printed Models for Acetabulum Fracture Surgery},
  booktitle = {CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Patrick Meere and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {3},
  pages     = {11--16},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {https://easychair.org/publications/paper/XRsG},
  doi       = {10.29007/d5sr}}
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