Views on a new surgical assistance method for implanting the glenoid component during total shoulder arthroplasty. Part 2: From three-dimensional reconstruction to augmented reality: Feasibility study.
Augmented reality
Premorbid glenoid
Shoulder prosthesis
Three-dimensional reconstruction
Journal
Orthopaedics & traumatology, surgery & research : OTSR
ISSN: 1877-0568
Titre abrégé: Orthop Traumatol Surg Res
Pays: France
ID NLM: 101494830
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
23
02
2018
revised:
13
07
2018
accepted:
21
08
2018
pubmed:
14
12
2018
medline:
3
3
2020
entrez:
8
12
2018
Statut:
ppublish
Résumé
The main goal of this study was to propose a new method of surgical assistance for the implantation of a total shoulder prosthesis, with the use of augmented reality (AR). The advantage of this approach is that it supplements information, on the one hand pre-existing or disappeared due to a pathological process, such as the premorbid glenoid, and on the other hand already existing but not accessible to the surgeon during the procedure, such as the so-called "hidden" face of the scapula. Several information preparation steps were needed. The first consisted in the three-dimensional (3D) rendering of the pathological glenoid, from a point cloud corresponding to the premorbid glenoid based on previously developed regression equations. A library of "healthy" generic glenoids was then created by hierarchical bottom-up analysis. From this database, a so-called adequate normal generic glenoid was fused and matched to the pathological glenoid reconstructed using a morphing technique. An experimental AR application was constructed. Smart glasses were used to display the prepared 3D information. A pathological 3D glenoid was reconstructed and used for the AR application. A complete display of the scene, reconstructed glenoid and full scapula was obtained. However, an offset from reality was observed. The main limitations were technical, related to the connected tool itself and the operating software. This was a feasibility study of the different steps required to apply AR, from information preparation to its visualization. A new parameter crossing experiment is needed to optimize each step of this process. IV, Basic science study.
Identifiants
pubmed: 30522851
pii: S1877-0568(18)30353-0
doi: 10.1016/j.otsr.2018.08.021
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
211-218Informations de copyright
Copyright © 2018. Published by Elsevier Masson SAS.