Texture-Normalized 3D Dental Models for Early Caries Detection

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Solution Overview

Problem

Existing dental examination methods fail to accurately detect early stages of dental conditions like caries, leading to irreversible damage if left untreated, and there is a need for a systematic approach to monitor dental health over time.

Innovation Solution

A computer-implemented method for generating digital 3D dental models using texture data, including fluorescence and color data, to identify and monitor dental conditions by placing models in a common texture space for accurate comparison and visualization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional dental examination methods (visual inspection and explorer probing) are used, then the examination process is simple and quick, but early-stage dental conditions cannot be detected accurately

Engineering Contradiction:
Improvedetection accuracy of early dental conditionsVSAvoidcomplexity of examination system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines multiple data acquisition methods (photographs, videos, 3D scans, fluorescence images) into a single integrated digital model. This merging of multiple examination approaches allows early detection of dental conditions while maintaining a unified, manageable system rather than separate complex devices.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent transitions from 2D visual inspection to 3D digital modeling, adding a spatial dimension to dental examination. This dimensional enhancement enables accurate detection of early caries and other conditions by providing comprehensive surface topology and texture information that flat images cannot capture.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If multiple digital 3D dental models are acquired at different time points for monitoring, then dental condition development can be tracked, but texture variations between scans make accurate comparison difficult

Engineering Contradiction:
Improvereliability of dental condition monitoringVSAvoidtexture consistency across multiple scans
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent applies texture modification parameters to standardize the appearance of dental structures across multiple scans. By adjusting parameters such as color, brightness, and texture intensity, the system compensates for variations introduced by different lighting conditions, scanner settings, or timing, enabling reliable comparison of actual dental changes over time.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent creates a common reference framework (equipotential space) where all dental models are normalized to the same texture standards. This allows models acquired at different time points to be compared directly, as if they were acquired under identical conditions, thereby maintaining information consistency and enabling accurate monitoring of dental condition development.

Inventive Principle:
Principle #12Equipotentiality

3Loss of time

If early detection of dental caries is achieved through advanced imaging, then preventive measures can be taken timely, but the complexity of analyzing and interpreting the data increases

Engineering Contradiction:
Improvetime for preventive interventionVSAvoidcomplexity of data analysis system
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent replaces manual visual analysis and interpretation with automated computer-based analysis of digital models. The system automatically processes photographs, videos, and 3D scans to generate diagnostic information, eliminating the need for clinicians to manually interpret complex imaging data while enabling timely detection and intervention.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates detailed digital copies (virtual models) of the dental structures that can be analyzed without manipulating the actual teeth. These digital replicas allow for repeated, non-invasive examination and measurement, enabling thorough analysis while preserving the integrity of the patient's oral structures and reducing the need for physical probing that could cause damage.

Inventive Principle:
Principle #26Copying

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables early detection and monitoring of dental conditions, allowing for timely preventive measures and reducing the risk of irreversible tooth damage by providing a reliable and user-friendly visualization of dental health changes over time.

Implementation Method 1

an intraoral scanner configured to measure fluorescence emitted by a surface of the intraoral cavity

Methodology Applied
Scientific EffectFluorescence: Fluorescence

Data Source

PatentUS12456255B2System and method for generating digital three-dimensional dental models
Publication Date: 2025.10.28 3SHAPE AS
  • US12456255B2 patent drawing
  • US12456255B2 patent drawing
  • US12456255B2 patent drawing

AI summary

According to an embodiment, a method for generating a digital three-dimensional model representing development in dental condition for a tooth is disclosed. The method includes obtaining, at different timepoints, a first digital 3D model of a patient's set of teeth including first texture data and a second digital 3D model of the patient's set of teeth including second texture data. The first digital 3D model including the first texture data and second digital 3D model including the second texture data are placed in a common texture space by uniformizing texture. Lastly, the digital three-dimensional model representing development in dental condition is generated based on a comparison of the first texture data and the second texture data of corresponding regions in the first digital 3D model and the second digital 3D model placed in the common texture space.