METHOD TO ESTIMATE THE THREE-DIMENSIONAL STRUCTURE OF TEETH

Smart overview of the Invention

The patent application describes a method and associated devices for creating a three-dimensional (3D) representation of a user's teeth using two-dimensional (2D) images. This approach aims to facilitate dental diagnostics and treatment planning by providing a more accessible and efficient alternative to traditional methods like dental impressions or intraoral scanning. The method incorporates algorithms, computer programs, and kits to achieve this transformation from 2D to 3D using advanced machine-learning models.

Device Configuration

The device proposed consists of an elongated body with a head and tail end, connected by a shaft. The head end is equipped with an optical sensor and multiple illumination sources. The optical sensor captures images, while the illumination sources ensure proper lighting of the field of view. This configuration allows for the capture of detailed 2D images necessary for the generation of accurate 3D models.

Methodology

The method involves capturing a series of 2D images of a tooth using the optical sensor. These images are then processed by computer-executable code to generate a 3D representation. The system uses a trained machine-learning model to ensure precision in the transformation process, comparing the captured images to a database of reference images with known 3D structures.

Accuracy and Precision

The generated 3D models are characterized by high accuracy, typically within a range of 1-1000 micrometers. This accuracy is measured by the maximum point distance between the generated model and a reference value, ensuring that the model closely resembles the actual dental structure. The system is designed to maintain high trueness and precision in the 3D representations.

Applications and Flexibility

The method and device can be used to prepare dental objects such as aligners, braces, and prosthetics. It supports both single and multiple image inputs and can operate without prior calibration, enhancing its usability. The system is adaptable to different user needs, including both adults and children, and can be configured with one or more optical sensors to improve image capture and model accuracy.