Detecting and removing overlap meshes for the assembly of 3D-printed fractured bones

Irwansyah, D. B. Redyarsa, Jiing Yih Lai, Terence Essomba, Pei Yuan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We propose an overlapping detection and removal algorithm to improve repositioned-fragments of the 3D bone model that significantly affect the assembled quality of 3D-printed bones. For this, we exploit the preliminary study show the 3D-printed bones obtained directly from CT images cannot be assembled easily and correctly. Our algorithm starts by detecting and isolating the overlapped-meshes on the fracture zone, then removing polygon meshes defects to eliminate the interferences on the assembly of two 3D-printed bones. Several cases of clinical fracture bone models are presented to evaluate the performance of the proposed algorithm. Based on the simulation result, the proposed algorithm is feasible to offer a well-made assembled 3D-printed bone, where the overlapping surface can be minimized especially on broken area.

Original languageEnglish
Title of host publicationProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages362-365
Number of pages4
ISBN (Electronic)9781538643426
DOIs
StatePublished - 22 Jun 2018
Event4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, Japan
Duration: 13 Apr 201817 Apr 2018

Publication series

NameProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018

Conference

Conference4th IEEE International Conference on Applied System Innovation, ICASI 2018
Country/TerritoryJapan
CityChiba
Period13/04/1817/04/18

Keywords

  • 3D model
  • 3D printing
  • bone reduction
  • overlapping meshes

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