Estimating and predicting tooth wear using intra-oral 3D scans

Patent metadata

Field	Value
Publication number	US-9737257-B2
Application number	US-201514609529-A
Country	US
Kind code	B2
Filing date	Jan 30, 2015
Priority date	Jan 30, 2015
Publication date	Aug 22, 2017
Grant date	Aug 22, 2017

Abstract

Methods for estimating and predicting tooth wear based upon a single 3D digital model of teeth. The 3D digital model is segmented to identify individual teeth within the model. A digital model of a tooth is selected from the segmented model, and its original shape is predicted. The digital model is compared with the predicted original shape to estimate wear areas. A mapping function based upon values relating to tooth wear can also be applied to the selected digital model to predict wear of the tooth.

First claim

The invention claimed is:

1. A method for estimating teeth wear, comprising steps of:
receiving a 3D digital model of teeth;
segmenting the 3D digital model of teeth to identify individual tooth within the 3D digital model of teeth and generate a segmented 3D digital model of teeth;
selecting a digital model of a tooth from the segmented 3D digital model of teeth;
predicting an original shape of the selected tooth to obtain a digital model of a predicted original shape; and
comparing the digital model of the tooth with the digital model of the predicted original shape to estimate wear areas in the selected tooth.

2. The method of claim 1 , wherein the segmenting step comprises:
performing a first segmentation method that over segments at least some of the teeth within the 3D digital model of teeth and outputs as results the 3D digital model of teeth with the over segmentation;
performing a second segmentation method that classifies some points within the 3D digital model of teeth as being on an interior of a tooth in the 3D digital model of teeth and classifies some other points within the 3D digital model of teeth as being on a boundary between teeth in the 3D digital model of teeth and outputs as results the 3D digital model of teeth with the classification; and
combining the results of the first and second segmentation methods to generate the segmented 3D digital model of teeth.

3. The method of claim 1 , wherein the predicting step comprises selecting a digital model of a tooth from known tooth shapes based upon characteristics of a patient corresponding with the 3D digital model of teeth.

4. The method of claim 1 , further comprising estimating wear areas in the selected tooth by detecting discontinuities in the digital model of the tooth that satisfy particular criteria.

5. The method of claim 1 , wherein the comparing step comprises detecting differences in surface area between the digital model of the tooth and the digital model of the predicted original shape.

6. The method of claim 1 , further comprising displaying an indication of the estimated wear areas.

7. A system for estimating teeth wear, comprising:
a module for receiving a 3D digital model of teeth;
a module for segmenting the 3D digital model of teeth to identify individual tooth within the 3D digital model of teeth and generate a segmented 3D digital model of teeth;
a module for selecting a digital model of a tooth from the segmented 3D digital model of teeth;
a module for predicting an original shape of the selected tooth to obtain a digital model of a predicted original shape; and
a module for comparing the digital model of the tooth with the digital model of the predicted original shape to estimate wear areas in the tooth.

8. The system of claim 7 , wherein the module for segmenting comprises:
a module for performing a first segmentation method that over segments at least some of the teeth within the 3D digital model of teeth and outputs as results the 3D digital model of teeth with the over segmentation;
a module for performing a second segmentation method that classifies some points within the 3D digital model of teeth as being on an interior of a tooth in the 3D digital model of teeth and classifies some other points within the 3D digital model of teeth as being on a boundary between teeth in the 3D digital model of teeth and outputs as results the 3D digital model of teeth with the classification; and
a module for combining the results of the first and second segmentation methods to generate the segmented 3D digital model of teeth.

9. The system of claim 7 , wherein the module for predicting comprises a module for selecting a digital model of a tooth from known tooth shapes based upon characteristics of a patient corresponding with the 3D digital model of teeth.

10. The system of claim 7 , further comprising a module for estimating wear areas in the selected tooth by detecting discontinuities in the digital model of the tooth that satisfy particular criteria.

11. The system of claim 7 , wherein the module for comparing comprises a module for detecting differences in surface area between the digital model of the tooth and the digital model of the predicted original shape.

12. The system of claim 7 , further comprising a module for displaying an indication of the estimated wear areas.

13. The method of claim 6 , wherein the display step comprises displaying the digital model of the tooth superimposed on the digital model of the predicted original shape.

14. The system of claim 12 , wherein the module for displaying comprises a user interface displaying the digital model of the tooth superimposed on the digital model of the predicted original shape.

15. The method of claim 1 , further comprising registering the digital model of the tooth with the digital model of the predicted original shape.

16. The system of claim 7 , further comprising a module for registering the digital model of the tooth with the digital model of the predicted original shape.

Assignees

• 3M Innovative Properties Co

Inventors

• Ribnick Evan J
• Somasundaram Guruprasad
• Stankiewicz Brian J
• Eid Aya
• Sivalingam Ravishankar
• Scott Shannon D
• Sabelli Anthony J
• Lorentz Robert D

Classifications

• A61B5/4547

  Evaluating teeth · CPC title

• G06T7/0014

  using an image reference approach · CPC title

• A61B5/4557 Primary

  Evaluating bruxism · CPC title

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

• A61C9/0053

  Optical means or methods, e.g. scanning the teeth by a laser or light beam · CPC title