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Related Concept Videos

Muscles for Facial Expressions01:14

Muscles for Facial Expressions

The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...

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Related Experiment Video

Updated: Jun 28, 2026

The Establishment of a Murine Maxillary Orthodontic Model
04:11

The Establishment of a Murine Maxillary Orthodontic Model

Published on: October 27, 2023

Modelling of mandibular movement.

Jing-Jing Fang1, Tai-Hong Kuo

  • 1Department of Mechanical Engineering, National Cheng Kung University, No. 1, University Road, Room 91724, Tainan 70154, Taiwan. fangjj@mail.ncku.edu.tw

Computers in Biology and Medicine
|November 4, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a new virtual articulator system to accurately reconstruct 3D mandible movements for personalized occlusion analysis. This non-invasive method aids in pre- and post-surgical planning and outcome prediction.

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Last Updated: Jun 28, 2026

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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
10:42

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Published on: January 28, 2020

Area of Science:

  • Biomedical Engineering
  • Dental Mechanics
  • 3D Imaging

Background:

  • Accurate reconstruction of individual mandible movement is crucial for dental applications.
  • Existing methods may involve radiation exposure or lack precision in dynamic occlusion analysis.

Purpose of the Study:

  • To present a novel virtual articulator system for precise 3D reconstruction of individual mandible movements.
  • To provide a non-invasive tool for analyzing and mimicking natural occlusion dynamics.

Main Methods:

  • Development of a virtual articulator system utilizing cubic or high-degree curve modeling.
  • Synchronization of 3D mandibular movements, including sagittal border, lateral, and open-close motions.
  • Application of optimal methodology to collected movement samples for generating specific occlusion curves and surfaces.

Main Results:

  • The system successfully reconstructs synchronized 3D mandibular movements, faithfully replicating natural occlusion.
  • Achieved non-invasive tracking and modeling of dynamic occlusion.
  • Generated patient-specific occlusion curves and surfaces.

Conclusions:

  • The virtual articulator system offers a novel method for mimicking individual occlusion.
  • This technology is valuable for recording dynamic mandibular movements in pre- and post-surgical contexts.
  • The system shows potential for predicting surgical outcomes in dental and maxillofacial procedures.