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

Sequential Balloon Modeling for Robust Percutaneous Transluminal Angioplasty Simulation.

International journal for numerical methods in biomedical engineering·2026
Same author

Bioengineered nasal septum implant with 3D-printed silicone and chondrocyte-seeded fibrin hydrogel.

Regenerative biomaterials·2026
Same author

Fibrin, from blood to bone: a review.

Bone reports·2026
Same author

Cell homing within endodontic hydrogels: A scoping review.

The Japanese dental science review·2026
Same author

What If the External Crown Surface of Teeth Could Predict the Pulp Chamber? A DeepSDF-Based Approach.

International endodontic journal·2026
Same author

PRIFED 2026 Preferred items checklist to report finite element studies in dentistry.

Journal of the mechanical behavior of biomedical materials·2026

Related Experiment Video

Updated: Jul 23, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.8K

Real-time simulation of the transplanted tooth using model order reduction.

Pierre Lahoud1,2,3, Arif Badrou4, Maxime Ducret5,6,7

  • 1OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, Leuven, Belgium.

Frontiers in Bioengineering and Biotechnology
|July 17, 2023
PubMed
Summary

Developing a reduced biomechanical model for transplanted teeth significantly cuts computation time. This innovation accurately captures tooth behavior, accelerating research in dental transplantation.

Keywords:
finite element analysismachine learningmodel order reduction (MOR)real-time simulationtooth autotransplantation

More Related Videos

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.2K
A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
10:50

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

9.7K

Related Experiment Videos

Last Updated: Jul 23, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.8K
Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.2K
A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
10:50

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

9.7K

Area of Science:

  • Biomechanical Engineering
  • Dental Research
  • Computational Modeling

Background:

  • Understanding the biomechanics of transplanted teeth is crucial but hindered by time-consuming finite element (FE) models.
  • Existing FE models lack efficiency for detailed biomechanical analysis of tooth transplantation.

Purpose of the Study:

  • To develop an efficient reduced model for analyzing transplanted tooth biomechanics using higher-order proper generalized decomposition (HOPGD).
  • To significantly decrease the computational time required for simulating the biomechanical behavior of transplanted teeth.

Main Methods:

  • Utilized a previously established FE model of a transplanted tooth.
  • Applied higher-order proper generalized decomposition (HOPGD) for model order reduction (MOR).
  • Simulated occlusal forces (75-175N) to analyze von Mises root stress under axial and lateral loads.

Main Results:

  • The reduced model achieved high accuracy, with errors ranging from 0.1% to 5.9%.
  • Computational time was drastically reduced from hours (FE analysis) to seconds (model construction and interpolation).
  • Model order reduction decreased simulation time by an average of 5.9 hours, particularly effective for high lateral forces.

Conclusions:

  • The developed reduced model accurately simulates transplanted tooth biomechanics with substantial computational time savings.
  • This approach offers a more efficient method for studying tooth transplantation and could be integrated with clinical data for real-time surgical simulations.