Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dental Care Needs and Treatment Priorities in a Homeless Population in Rome: An Observational Study.

Dentistry journal·2026
Same author

Machine Learning-Based Model for Predicting Short- and Long-Term Growth in Untreated Class III Malocclusion.

Orthodontics & craniofacial research·2026
Same author

Postpubertal Assessment of Treatment Timing in Class II Malocclusion Treated with Twin Block Followed by Fixed Appliances: A Retrospective Observational Study.

Journal of clinical medicine·2026
Same author

Dental Arch Expansion With In-House Clear Aligners: An Exploratory Prospective Clinical Study on Torque, Vertical Control and Attachment Configuration.

Orthodontics & craniofacial research·2026
Same author

Influence of Printing Orientation and Ageing on Mechanical Properties of 3D-Printed Resins for Occlusal Splints.

Materials (Basel, Switzerland)·2026
Same author

Occlusal Relationships and Dental Changes in Mixed Dentition Patients Treated with Clear Aligners: A 2-Year Follow Up.

Children (Basel, Switzerland)·2026

Related Experiment Video

Updated: Feb 17, 2026

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

3.8K

Measuring 3D shape in orthodontics through geometric morphometrics.

Luis Huanca Ghislanzoni1,2, Roberta Lione3, Paola Cozza3

  • 1Department of Orthodontics, University of Geneve, Geneve, Switzerland. dottor.acca@gmail.com.

Progress in Orthodontics
|December 2, 2017
PubMed
Summary
This summary is machine-generated.

Geometric morphometrics (GMM) offers a novel approach to quantify 3D facial and dental shapes in orthodontics. This method moves beyond traditional esthetic criteria to analyze developmental variations and identify shape patterns.

More Related Videos

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum
04:32

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum

Published on: March 19, 2017

7.9K
Quantification of Orofacial Phenotypes in Xenopus
09:26

Quantification of Orofacial Phenotypes in Xenopus

Published on: November 6, 2014

10.3K

Related Experiment Videos

Last Updated: Feb 17, 2026

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

3.8K
Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum
04:32

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum

Published on: March 19, 2017

7.9K
Quantification of Orofacial Phenotypes in Xenopus
09:26

Quantification of Orofacial Phenotypes in Xenopus

Published on: November 6, 2014

10.3K

Area of Science:

  • Biomedical Engineering
  • Orthodontics
  • Anthropology

Background:

  • Geometric morphometrics (GMM) traditionally analyzes biological developmental differences.
  • Orthodontics focuses on facial and dental shape and size, often relying on esthetic criteria.
  • Conventional cephalometric and cast analysis tools have limitations in quantifying shape.

Purpose of the Study:

  • To introduce methods for measuring the 3D shape of orthodontic data.
  • To present geometric morphometrics as a tool for analyzing orthodontic-related shapes.
  • To provide a theoretical framework for applying GMM in orthodontics.

Main Methods:

  • Application of geometric morphometrics (GMM) to 3D orthodontic data.
  • Utilizing scanned dental casts for shape analysis.
  • Introduction to the theoretical principles of GMM application.

Main Results:

  • Demonstration of GMM application to measure palate shape from dental casts.
  • GMM effectively describes the 3D shape of orthodontic surfaces.
  • Provides a foundation for applying GMM in orthodontic research.

Conclusions:

  • Principal Component Analysis (PCA) quantifies shape variability.
  • PCA aids in identifying shape patterns and their sources.
  • Shape variability can be analyzed independently of size changes.