Automatic generation of a crown shape for a dentition

The automatic generation of crown shapes for a dentition is achieved through a method that segments 3D maxillofacial data, optimizes digital crown shape models based on spatial constraints, and iteratively adjusts shape parameters, addressing the complexity of current methods and enabling efficient, data-driven crown shape design.

WO2025016984A1PCT designated stage expired Publication Date: 2025-01-23PROMATON HLDG BV
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Patent Information

Application Number
PCT/EP2024/070043
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-07-18
Filing Date
2024-07-15
Publication Date
2025-01-23

AI Technical Summary

Technical Problem

Current methods for automatically generating a crown shape for a dentition based on 3D maxillofacial data are complex and require large amounts of annotated data, relying on abutments and specific tooth positions, making it difficult to train deep learning models solely on 3D maxillofacial structures.

Method used

A computer-implemented method for automatic crown shape generation involves segmenting 3D maxillofacial data into 3D dental objects, determining the position of the target tooth, and optimizing shape parameters of a digital crown shape model using 3D spatial constraints and an initial pose, iteratively adjusting parameters until the crown shape meets optimization conditions.

Benefits of technology

This method allows for the fully automatic design of crown shapes based solely on 3D maxillofacial data, optimizing the crown shape model while processing 3D constraints associated with other teeth using a loss function, enabling clinically relevant results for implant placement and flexible application with various input data types.

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Abstract

Methods and systems for automatic generation of a crown shape for a dentition are described wherein the method comprises segmenting 3D maxillofacial data comprising the dentition, preferably by one or more trained deep neural networks, into a set of 3D dental objects; determining or receiving a position of a tooth, preferably based on a tooth classifier, in the dentition for which a target crown shape is to be determined; determining 3D spatial constraints for the target crown shape based on the set of 3D dental objects; determining an initial pose based for the target crown shape based on one or more 3D dental objects of the set of 3D dental objects; and, optimizing one or more optimization parameters associated with a digital crown shape model to determine the target crown shape, the optimizing including determining a trial crown shape using the digital crown shape model and the one or more optimization parameters, computing a loss value for the trial crown shape based on the 3D spatial constraints and the initial pose; and, if the loss value does not meet one or more optimization conditions modifying the one or more optimization parameters to determine a further trial crown shape and to compute a further loss value.
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Citation Information

Patent Citations

  • Classification and 3D modelling of 3D dento-maxillofacial structures using deep learning methods

    WO2019002631A1

  • Object detection and instance segmentation of 3D point clouds based on deep learning

    WO2021009258A1

  • Automatic generation of dental restorations using machine learning

    WO2022016294A1

  • Method for Estimating at least one of Shape, Position and Orientation of a Dental Restoration

    US20190147666A1

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