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
Engineering 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
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.
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
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.
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
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.
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.
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
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.
Data Source
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.


