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3D superimposition of craniofacial imaging—The utility of multicentre collaborations
Author(s) -
Yatabe Marilia,
Prieto Juan Carlos,
Styner Martin,
Zhu Hongtu,
Ruellas Antonio Carlos,
Paniagua Beatriz,
Budin Francois,
Benavides Erika,
Shoukri Brandon,
Michoud Loic,
Ribera Nina,
Cevidanes Lucia
Publication year - 2019
Publication title -
orthodontics and craniofacial research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 55
eISSN - 1601-6343
pISSN - 1601-6335
DOI - 10.1111/ocr.12281
Subject(s) - superimposition , cone beam computed tomography , craniofacial , voxel , computer science , artificial intelligence , computer vision , orthodontics , medical physics , computed tomography , medicine , radiology , psychiatry
Structured 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.