Dental Registration Data for Dual Occlusion State Alignment

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Solution Overview

Problem

Existing dental imaging methods, such as CT scans and intraoral scans, often fail to accurately represent the patient's oral occlusion state, making it difficult to align and utilize image data for various treatment purposes, such as implant placement and prosthetic treatment, due to differences between scanned and natural oral positions.

Innovation Solution

A method for generating dental registration data by aligning maxillary and mandibular scan images with CT scan images, using deep learning models to register intraoral scan images in both occlusion states, allowing for precise alignment and segmentation of dental structures, and creating a dental 3D avatar for intuitive patient representation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a CT scan image is obtained by fixing the patient's position with a mouthpiece or bite block, then the patient's position is stabilized for imaging, but the oral cavity is held in an open state that differs from the actual oral occlusion state during normal times

Engineering Contradiction:
Improveposition stabilityVSAvoidocclusion state accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The system performs preliminary registration of the maxillary scan image with the CT scan image, then uses this registered reference to transform and register the mandibular scan image. This preliminary alignment enables the system to subsequently represent both intraoral scan occlusion state and CT occlusion state from the same set of scanned images, resolving the contradiction between position stability and occlusion state accuracy.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If only one type of registration data is generated, then the processing time is reduced, but the system cannot provide appropriate registration data for different treatment purposes

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidtreatment purpose adaptability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The system segments the registration process into distinct pathways: one pathway registers the mandibular scan image with the registered maxillary scan image to produce intraoral scan occlusion state data, while another pathway registers both maxillary and mandibular scan images with the CT scan image to produce CT occlusion state data. This segmentation allows the system to maintain high processing efficiency while providing adaptability for different treatment purposes.

Inventive Principle:
Principle #1Segmentation

3Adaptability or versatility

If multiple registration data types are generated for different occlusion states, then the system can provide appropriate data for any treatment purpose, but the complexity of the image processing system increases

Engineering Contradiction:
Improvetreatment purpose adaptabilityVSAvoidimage processing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary registration of the maxillary scan image with the CT scan image to establish a reference framework. This preliminary action simplifies subsequent processing by enabling the system to generate both intraoral scan occlusion state and CT occlusion state registration data from the same registered images, reducing overall system complexity while maintaining versatility.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates transformed copies of the registered images to represent different occlusion states. By copying and transforming the registered maxillary and mandibular scan images according to different reference frames (intraoral scan reference vs. CT reference), the system generates multiple registration data types without requiring multiple physical scanning processes, thereby reducing complexity.

Inventive Principle:
Principle #26Copying

4Measurement precision

If the mandibular scan image is registered with the registered maxillary scan image, then the intraoral scan occlusion state is accurately represented, but the CT occlusion state cannot be directly obtained

Engineering Contradiction:
Improveintraoral scan occlusion accuracyVSAvoidCT occlusion state information
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system segments the registration process into two independent pathways: one pathway focuses on registering the mandibular scan image with the registered maxillary scan image to accurately represent intraoral scan occlusion state, while a separate pathway registers both maxillary and mandibular scan images with the CT scan image to preserve and represent CT occlusion state information. This segmentation ensures both accuracy and information preservation.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20250356496A1Method for generating dental registration data
Publication Date: 2025.11.20 RAY CO LTD
  • US20250356496A1 patent drawing
  • US20250356496A1 patent drawing
  • US20250356496A1 patent drawing

AI summary

A method for generating dental registration data by a device including a communication circuit, a memory, and a processor is provided. The method performed by the processor includes acquiring an intraoral scan image of a dental region of a patient, wherein the intraoral scan image includes a maxillary scan image and a mandibular scan image, acquiring a CT scan image including the dental region of the patient, generating first sub-registration data by registering the maxillary scan image with the CT scan image, generating first registration data by registering the mandibular scan image with the first sub-registration data, generating second sub-registration data by registering the mandibular scan image with the CT scan image, and generating second registration data by registering the first sub-registration data with the second sub-registration data.