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Tooth Anatomy

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.

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In situ Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint

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Coupling image processing and stress analysis for damage identification in a human premolar tooth.

U Andreaus¹, M Colloca, D Iacoviello

¹"Sapienza" University of Rome, Department of Structural and Geotechnical Engineering, Italy. ugo.andreaus@uniroma1.it

Computer Methods and Programs in Biomedicine

|July 20, 2010

Summary

Non-carious cervical lesions involve dental hard tissue loss at the cement-enamel junction (CEJ). Advanced image analysis and finite element modeling can quantify stress distribution and failure risk in teeth.

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

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

Published on: February 23, 2024

Area of Science:

Biomaterials Science
Dental Mechanics
Computational Biology

Background:

Non-carious cervical lesions (NCCLs) result in dental hard tissue loss at the cement-enamel junction (CEJ).
Excessive occlusal forces contribute to NCCLs by disrupting hydroxyapatite bonds, leading to enamel and dentin degradation.
Quantitative assessment of tooth damage and stress distribution is crucial for understanding NCCL progression.

Purpose of the Study:

To develop and apply a computerized, two-step procedure for identifying and analyzing damage in non-carious cervical lesions.
To quantitatively assess changes in stress distribution within a human premolar under normal and malocclusion conditions.
To estimate the risk of failure at the CEJ and crack initiation at the dentin-enamel junction.

Main Methods:

Digital image processing and segmentation techniques were used to identify and quantify enamel damage (thickness, area, chipping).
A three-dimensional finite element model, based on CT images of the tooth and periodontal ligament, was created.
Stress analysis, including principal stresses and von Mises stress, was performed on critical zones identified in the first step.

Main Results:

The image analysis successfully identified and quantified morphological properties related to enamel damage.
The finite element model allowed for the comparison of stress distributions between normal and malocclusion scenarios.
Quantification of stress parameters provided an estimation of failure risk at the CEJ and dentin-enamel junction.

Conclusions:

A novel two-step computational approach effectively identifies dental hard tissue damage and analyzes stress concentrations.
This methodology enables quantitative assessment of NCCLs and aids in understanding biomechanical factors contributing to tooth failure.
The findings support the use of advanced imaging and modeling techniques for diagnosing and managing dental conditions like NCCLs.