Literature DB >> 32442635

Three-dimensional acquisition technologies for facial soft tissues - Applications and prospects in orthognathic surgery.

S Rasteau1, N Sigaux2, A Louvrier3, P Bouletreau2.   

Abstract

The management of patients with dento-maxillofacial deformities is based on assessments of the dental occlusion - facial skeleton - soft tissues triad. As societal demands and surgical practices have evolved, facial soft tissues have moved to the forefront of considerations in orthognathic surgery. Techniques are therefore required to analyze facial soft tissues objectively and reproducibly, for diagnosis, preoperative planning, and follow-up. Several technologies are currently capable of providing three-dimensional (3D) models of the face, either by 3D reconstruction of traditional computed tomography or cone beam computed tomography data, or directly by stereophotogrammetry, laser scanning or structured light scanning. Multimodal image registration techniques allow bone base, dental occlusion and facial soft tissue information to be combined in a 3D virtual patient. Three-dimensional cephalometric analysis of the facial skeleton and skin is now perfectly integrated in virtual planning and is gradually gaining in automation and accuracy. Photorealistic 3D simulations allow optimal soft tissue planning and facilitate physician-patient communication. Finally, these facial modeling techniques facilitate post-operative studies of soft tissues, which generally involve comparisons of volumetric data. There are many research avenues to pursue and technical improvements are to be expected, particularly through the development of big data and artificial intelligence approaches.
Copyright © 2020 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Cephalometric; Orthognathic surgery; Soft tissues; Surgical simulation; Three-dimensional imaging

Year:  2020        PMID: 32442635     DOI: 10.1016/j.jormas.2020.05.013

Source DB:  PubMed          Journal:  J Stomatol Oral Maxillofac Surg        ISSN: 2468-7855            Impact factor:   1.569


  2 in total

Review 1.  Artificial intelligence in medico-dental diagnostics of the face: a narrative review of opportunities and challenges.

Authors:  Raphael Patcas; Michael M Bornstein; Marc A Schätzle; Radu Timofte
Journal:  Clin Oral Investig       Date:  2022-09-24       Impact factor: 3.606

2.  Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments.

Authors:  Sohaib Shujaat; Michael M Bornstein; Jeffery B Price; Reinhilde Jacobs
Journal:  Dentomaxillofac Radiol       Date:  2021-09-14       Impact factor: 3.525

  2 in total

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