Method for setting a local coordinate system of a tooth 3D digital model
AssigneeWuxi Ea Medical Instruments Technologies Limited
InventorsYang Feng, Xiaolin Liu, Bowen Zhou
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AssigneeWuxi Ea Medical Instruments Technologies Limited
InventorsYang Feng, Xiaolin Liu, Bowen Zhou
Estimating the term…
In one aspect of the present application, a computer-implemented method for setting a local coordinate system of a tooth 3D digital model is provided, the method comprises: obtaining a first 3D digital model representing a first tooth, wherein the first 3D digital model is based on a world coordinate system; and setting a local coordinate system for the first 3D digital model using a first artificial neural network based on the first 3D digital model, where the first artificial neural network is a trained deep learning artificial neural network.
A computer-implemented method for setting a local coordinate system for a tooth 3D digital model, comprising:
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Three-dimensional [3D] modelling for computer graphics: tree description, e.g. octree, quadtree
Orthodontics, i.e. obtaining or maintaining the desired position of teeth, e.g. by straightening, evening, regulating, separating, or by…:…
Neural networks: architecture, e.g. interconnection topology
Architecture, e.g. interconnection topology: combinations of networks
About 12 years 8 months of term left · ends 23 Jun 2039 (estimated)
The present application is a national phase filing under 35 USC 371 of International Application No. PCT/CN2019/077805, filed on Mar. 12, 2019, which claims priority of Chinese Patent Application No. 201810445610.0, filed May 9, 2018, the entire contents and disclosures of which are hereby incorporated by reference.
The present application generally relates to a method for setting a local coordinate system of a tooth 3D digital model.
With the continuous development of computer science, dental professionals increasingly rely on computer techniques to improve the efficiency of dental diagnosis and treatment.
The above and other features of the present application will be further illustrated below with reference to figures and their detailed description. It should be appreciated that these figures only show several exemplary embodiments according to the present application, so they should not be construed as limiting the protection scope of the present application. Unless otherwise specified, the figures are not necessarily drawn to scale, and similar reference numbers therein denote similar components.
FIG. 1 schematically illustrates a flow chart of a computer-implemented method for setting a local coordinate system of a tooth 3D digital model according to an embodiment of the present application;
FIG. 2 schematically illustrates a structure of a multi-layer perceptron artificial neural network according to an embodiment of the present application;
In the following detailed description, reference is made to the accompanying drawings, which form a part thereof. Exemplary embodiments in the detailed description and figures are only intended for illustration purpose and not meant to be limiting. Inspired by the present application, those skilled in the art can understand that other embodiments may be utilized and other changes may be made, without departing from the spirit or scope of the present application. It will be readily understood that aspects of the present application described and illustrated herein can be arranged, replaced, combined, separated and designed in a wide variety of different configurations, all of which are explicitly contemplated and make part of the present application.
After a lot of work, the Inventors of the present application developed a computer-implemented method for setting a local coordinate system of a tooth 3D digital model based on deep learning. A trained deep learning artificial neural network is used to set the local coordinate system of the tooth 3D digital model.
Referring to FIG. 1, it schematically illustrates a flow chart of a computer-implemented method 100 for setting a local coordinate system of a tooth 3D digital model according to one embodiment of the present application.