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

Patent metadata

Field	Value
Publication number	US-10405796-B2
Application number	US-201715654848-A
Country	US
Kind code	B2
Filing date	Jul 20, 2017
Priority date	Jan 30, 2015
Publication date	Sep 10, 2019
Grant date	Sep 10, 2019

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 predicting teeth wear, comprising steps of:
receiving a 3D digital model of teeth;
applying a mapping function to the digital model of the teeth based upon values relating to tooth wear;
predicting wear areas in the teeth based upon the applying step; and
prior to the applying step, 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, comprising:
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.

2. The method of claim 1 , further comprising annotating the digital model of the tooth based upon the predicted wear areas.

3. The method of claim 2 , further comprising displaying the annotated digital model of the tooth.

4. A system for predicting teeth wear, comprising:
a module for receiving a 3D digital model of teeth;
a module for applying a mapping function to the digital model of the teeth based upon values relating to tooth wear;
a module for predicting wear areas in the digital model of the teeth based upon the applying step; and
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, comprising:
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.

5. The system of claim 4 , further comprising a module for annotating the digital model of the tooth based upon the predicted wear areas.

6. The system of claim 5 , further comprising a module for displaying the annotated digital model of the tooth.

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

• G06T2207/10028

  Range image; Depth image; 3D point clouds · CPC title

• G16H30/40

  for processing medical images, e.g. editing · CPC title

• G06T2207/30036

  Dental; Teeth · CPC title

• A61B5/7267

  involving training the classification device · CPC title

• A61B5/7278

  Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals · CPC title