| Literature DB >> 31074129 |
Marilia Yatabe1, Juan Carlos Prieto2, Martin Styner2, Hongtu Zhu2, Antonio Carlos Ruellas1, Beatriz Paniagua3, Francois Budin3, Erika Benavides1, Brandon Shoukri1, Loic Michoud1, Nina Ribera1, Lucia Cevidanes1.
Abstract
Clinical applications of 3D image registration and superimposition have contributed to better understanding growth changes and clinical outcomes. The use of 3D dental and craniofacial imaging in dentistry requires validate image analysis methods for improved diagnosis, treatment planning, navigation and assessment of treatment response. Volumetric 3D images, such as cone-beam computed tomography, can now be superimposed by voxels, surfaces or landmarks. Regardless of the image modality or the software tools, the concepts of regions or points of reference affect all quantitative of qualitative assessments. This study reviews current state of the art in 3D image analysis including 3D superimpositions relative to the cranial base and different regional superimpositions, the development of open source and commercial tools for 3D analysis, how this technology has increased clinical research collaborations from centres all around the globe, some insight on how to incorporate artificial intelligence for big data analysis and progress towards personalized orthodontics.Entities:
Keywords: 3D analysis; artificial intelligence; personalized orthodontics
Mesh:
Year: 2019 PMID: 31074129 PMCID: PMC6660909 DOI: 10.1111/ocr.12281
Source DB: PubMed Journal: Orthod Craniofac Res ISSN: 1601-6335 Impact factor: 1.826