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

Tooth Anatomy01:21

Tooth Anatomy

The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or grinding food.
Teeth01:15

Teeth

The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin and...

You might also read

Related Articles

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

Sort by
Same author

Semantic Frame Interpolation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Integrated multi-omics analysis unveils microbiota-metabolite-host interactions and novel biomarkers for early diabetic kidney disease diagnosis.

Frontiers in immunology·2026
Same author

From sparse semantics to rich instances: Empowering label-efficient LiDAR panoptic segmentation via geometric priors.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

[Summary of the best evidence for diaphragmatic function training in mechanically ventilated patients].

Zhonghua wei zhong bing ji jiu yi xue·2026
Same author

AttentionPainter: An Efficient and Adaptive Stroke Predictor for Scene Painting.

IEEE transactions on visualization and computer graphics·2025
Same author

M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising.

IEEE transactions on pattern analysis and machine intelligence·2025

Related Experiment Video

Updated: Jul 17, 2026

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

Interactive tooth segmentation of dental models.

Mingxi Zhao1, Lizhuang Ma, Wuzheng Tan

  • 1PHD. Candidate in Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China. zhaomx@cs.sjtu.edu.cn.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
Summary

This study introduces an interactive method for precise tooth segmentation in orthodontic applications. The approach accurately separates individual teeth from triangle meshes, overcoming natural variations in dental anatomy.

More Related Videos

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition
07:32

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition

Published on: February 23, 2024

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

Related Experiment Videos

Last Updated: Jul 17, 2026

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

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition
07:32

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition

Published on: February 23, 2024

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

Area of Science:

  • Computer-aided dentistry
  • Medical imaging analysis
  • Geometric modeling

Background:

  • Accurate tooth segmentation from triangle meshes is crucial for computer-aided orthodontic applications.
  • The variability in tooth shape and arrangement presents significant challenges for automated segmentation.
  • Existing methods may lack the precision required for individual tooth analysis.

Purpose of the Study:

  • To develop a novel interactive method for accurate tooth segmentation from triangle mesh data.
  • To address the difficulties posed by natural variations in dental anatomy.
  • To enable precise individual tooth segmentation for orthodontic purposes.

Main Methods:

  • Utilizing curvature values of the triangle mesh to identify feature points.
  • Connecting feature points into feature regions.
  • Extracting feature lines and obtaining feature contours with user input.
  • Employing feature contours for accurate tooth segmentation.

Main Results:

  • The proposed method achieves accurate segmentation of teeth from triangle meshes.
  • Individual teeth can be reliably segmented, even with variations in shape and arrangement.
  • The interactive approach enhances the precision of the segmentation process.

Conclusions:

  • The developed interactive method provides an accurate solution for tooth segmentation in computer-aided orthodontics.
  • This technique effectively handles the inherent variability of dental structures.
  • The user-guided feature contour extraction ensures precise and individual tooth segmentation.