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Related Concept Videos

Tooth Anatomy01:21

Tooth Anatomy

2.0K
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...
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Teeth01:15

Teeth

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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...
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Related Experiment Video

Updated: Jan 17, 2026

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
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Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

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Template-based semantic-guided orthodontic teeth alignment previewer.

Qianwen Ji1, Yizhou Chen1, Xiaojun Chen2

  • 1Institute of Biomedical Manufacturing and Life Quality Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Medical Image Analysis
|September 20, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for orthodontic simulation using just a frontal photo. It accurately predicts teeth alignment changes, aiding patient decisions and treatment outlook.

Keywords:
3D teeth reconstructionImage generationSemantic segmentation

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Area of Science:

  • Dentistry and Medical Imaging
  • Computer Vision and Machine Learning

Background:

  • Visualizing orthodontic treatment outcomes is crucial for patient engagement and adherence.
  • Current methods may lack accuracy or require extensive data.

Purpose of the Study:

  • To develop a novel framework for predicting orthodontic outcomes from a single frontal photograph.
  • To enhance patient understanding and confidence in orthodontic treatment.

Main Methods:

  • Semantic segmentation of oral structures to extract tooth contours.
  • 3D tooth model reconstruction using adapted templates.
  • Dental arch curve fitting for simulating tooth movement.
  • Semantically guided diffusion models for generating realistic prediction images.

Main Results:

  • Achieved high accuracy in tooth semantic segmentation (0.834 IoU for 24 classes).
  • Demonstrated precise 3D tooth model reconstruction (1.272 mm² average Chamfer distance).
  • Predicted teeth alignment showed strong consistency with actual post-orthodontic results.

Conclusions:

  • The proposed framework offers a practical and effective tool for orthodontic simulation and prediction.
  • This technology has potential applications in orthodontics and facial beautification.
  • Intuitive visualization aids patient decision-making and treatment motivation.