Enamel width and dentin shape from near infrared scans
OwnerMaayan MOSHE, Shai AYAL +2inventors
InventorsMaayan MOSHE, Shai AYAL, Doron MALKA, Ran KATZ
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Abstract
Systems, apparatuses, and methods disclosed herein are directed to systems, methods, and apparatuses for enabling the determination of enamel width and dentin shape and location from near infrared and 3D surface scan data for use in treating a patient’s dentition.
Claims20
A method for use in dental treatment planning, the method comprising:
- collecting, with an intraoral scanner, a plurality of two-dimensional (2D) near infrared intraoral scanner images of a patient’s tooth and three-dimensional (3D) surface data of the patient’s tooth;
- and
- using a model of a dentin of a tooth of a patient to administer dental treatment, wherein the dental treatment includes providing a physical dental prosthetic, wherein the physical dental prosthetic is based on a 3D model of a dentin of the tooth of the patient,
- wherein the 3D model of the dentin is based on a parameterized dentin template,
- wherein, for each image of the plurality of 2D near infrared images, a border was generated between a dentin and an enamel in the images using a detection algorithm that uses the plurality of 2D near infrared images,
- wherein the border was projected between the dentin and the enamel identified in each image onto a three-dimensional (3D) model of the patient’s tooth, wherein the 3D model of the patient’s tooth was generated from 3D surface data of the patient’s tooth,
- wherein the dentin template was iteratively projected on the 3D model for each of the 2D near infrared images until the projection aligns with the border between the dentin and the enamel identified in each image, and
- wherein the 3D model of the dentin was generated based on the projection.
The method of claim , wherein the detection algorithm is an edge detection algorithm.
The method of claim , wherein the detection algorithm is a trained pattern matching agent that is trained to use the plurality of 2D near infrared image.
The method of claim , wherein the template is a generic dentin template.
The method of claim , wherein the template is the 3D model of the patient’s tooth.
The method of claim , wherein the parameters of the dentin template are modified to generate the 3D model of the dentin.
The method of claim , wherein using a model of a dentin comprises using a 3D model of the tooth of a patient including the 3D model of the dentin projected on the 3D model of the patient’s tooth.
The method of claim , wherein a location of the border between the enamel and the dentin was corrected by tracing rays between a modeled camera of the intraoral scanner and the 3D model of the tooth.
A system for use in dental treatment planning, the system comprising:
- one or more processors;
- and
- memory comprising instructions that when executed by the one or more processors causes the system to carry out a method comprising:
- receiving or collecting a plurality of two-dimensional (2D) near infrared intraoral scanner images of a patient’s tooth and three-dimensional (3D) surface data of the patient’s tooth;
- identifying, for each image of the plurality of 2D intraoral scanner images, a border between a dentin and an enamel in the images using a detection algorithm that uses the plurality of 2D near infrared images;
- projecting the border between the dentin and the enamel identified in each image onto a three-dimensional (3D) model of the patient’s tooth, wherein the 3D model of the patient’s tooth is generated from 3D surface data of the patient’s tooth;
- correcting a location of the border between the enamel and the dentin by tracing rays between a modeled camera and the 3D model of the tooth;
- generating a 3D model of the dentin based on the projection;
- and
- outputting the 3D model of the dentin.
The system of claim , wherein the detection algorithm is an edge detection algorithm.
The system of claim , wherein the detection algorithm is a trained pattern matching agent that is trained to use the plurality of 2D near infrared image.
The system of claim , wherein outputting comprises outputting a 3D model of the tooth of a patient including the 3D model of the dentin projected on the 3D model of the patient’s tooth.
The system of claim , wherein the method further comprises:
- segmenting the 3D model of the tooth of a patient before projecting the border between the dentin and the enamel on the 3D model.
The system of claim , wherein receiving or collecting the plurality of 2D intraoral scanner images of the tooth of a patient comprises receiving the plurality of 2D intraoral scanner images from an intraoral scanner data set.
The system of claim , wherein the method further comprises:
- receiving an indication of a plurality of views for detecting dentin geometry.
The system of claim , wherein the method further comprises:
- determining which of the plurality of 2D intraoral scanner images corresponds to the one or more views.
The system of claim , wherein identifying, for each image of the plurality of 2D intraoral scanner images, a border between a dentin and an enamel in the images using a detection algorithm that uses the plurality of 2D near infrared images, includes identifying for each of the plurality of 2D intraoral scanner images that corresponds to the one or more views, a border between a dentin and an enamel in the images using a detection algorithm that uses the plurality of 2D near infrared images.
The system of claim , wherein projecting the border between the dentin and the enamel identified in each image onto a three-dimensional (3D) model of the patient’s tooth, includes projecting the border between the dentin and the enamel identified in each image that corresponds to the one or more views onto a three-dimensional (3D) model of the patient’s tooth.
The system of claim , wherein determining a dentin geometry for the patient’s tooth based on the projected border includes determining the dentin geometry based on the projected borders between the dentin and the enamel for plurality of views.
Dependencies are inferred from the claim text.