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Personalized 3D Craniofacial Morphometrics
Author(s) -
Cevidanes Lucia H,
Bianchi Jonas,
Oliveira Ruellas Antonio Carlos,
Yatabe Ioshida Marilia S,
Paniagua Beatriz,
Goncalves Joao R,
Prieto Juan Carlos
Publication year - 2019
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2019.33.1_supplement.330.3
Subject(s) - superimposition , morphometrics , craniofacial , landmark , artificial intelligence , computer science , orthodontics , medical physics , medicine , biology , psychiatry , fishery
This presentation will review 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 centers all around the globe, some insight on how to incorporate artificial intelligence for big data analysis and progress towards personalized facial morphometry assessments. 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 validated image analysis methods for improved diagnosis, treatment planning, navigation and assessment of treatment response. Advanced 3D facial morphometry utilizes shape correspondence to train a neural network for shape variation analyses. Support or Funding Information NIDCR R01 DE024450 and R21 DE025306 This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .