Intraoral scanner with dental diagnostics capabilities

Patent metadata

Field	Value
Publication number	US-10123706-B2
Application number	US-201715662234-A
Country	US
Kind code	B2
Filing date	Jul 27, 2017
Priority date	Jul 27, 2016
Publication date	Nov 13, 2018
Grant date	Nov 13, 2018

Abstract

Methods and apparatuses for generating a model of a subject's teeth. Described herein are intraoral scanning methods and apparatuses for generating a three-dimensional model of a subject's intraoral region (e.g., teeth) including both surface features and internal features. These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth. Any of these methods and apparatuses may use minimum scattering coefficients and/or segmentation to form a volumetric model of the teeth.

First claim

What is claimed is:

1. A method for generating a three-dimensional (3D) volumetric model of a subject's teeth using an intraoral scanner, the method comprising:
taking surface images of the subject's teeth and forming a 3D surface model of at least a portion of the subject's teeth using the intraoral scanner as the intraoral scanner is moved over the teeth;
taking a plurality of images into the teeth using a near-infrared (near-IR) wavelength with the intraoral scanner as the intraoral scanner is moved over the teeth, so that multiple images of a same internal region of the teeth are imaged, wherein taking the plurality of images into the teeth comprises emitting a near-IR light from the intraoral scanner in a first polarization, and detecting, in an image sensor in the intraoral scanner, the near-IR light returning to the intraoral scanner, wherein the near-IR light returning to the intraoral scanner is filtered to remove specular reflection by filtering near-IR light in the first polarization from the near-IR light returning to the intraoral scanner before it reaches the image sensor;
constructing grid points for an inner volume of the 3D surface model;
determining, for each of the plurality of images into the teeth, a position of the intraoral scanner relative to the subject's teeth using the 3D surface model data; using the position of the intraoral scanner to project the grid points on each of the plurality of images into the teeth;
determine a minimum scattering coefficient for the projected grid points from all of the plurality of images into the teeth; and
forming the 3D volumetric model of the subject's teeth including internal features using the minimum scattering coefficient for the projected grid points.

2. The method of claim 1 , wherein the near-IR light returning to the intraoral scanner is filtered to remove specular reflection by filtering all or nearly all of the near-IR light in the first polarization from the near-IR light returning to the intraoral scanner before it reaches the image sensor.

3. The method of claim 1 , wherein forming the 3D surface model comprises determining a 3D surface topology using confocal focusing.

4. The method of claim 1 , wherein forming the 3D surface model comprises using structured light triangulation.

5. The method of claim 1 , wherein forming the 3D surface model comprises capturing a model of the teeth and gums.

6. The method of claim 1 , further comprising capturing a 3D color model of the teeth as the intraoral scanner is moved over the teeth.

7. The method of claim 1 , further comprising switching between capturing 3D surface model data and taking the plurality of images into the teeth as the intraoral scanner is moved over the teeth.

8. The method of claim 1 , wherein taking the plurality of images comprises using a same sensor on the intraoral scanner to capture the 3D surface model data and the plurality of images into the teeth.

9. The method of claim 1 , wherein taking the plurality of images into the teeth comprises small-angle penetrative images.

10. The method of claim 1 , wherein taking the plurality of images into the teeth comprises using a different sensor on the intraoral scanner to capture 3D surface model data and the plurality of images into the teeth.

11. The method of claim 1 , wherein forming the 3D volumetric model of the subject's teeth comprises combing the 3D surface model data with a 3D model of the internal structure.

12. A method for generating a three-dimensional (3D) volumetric model of a subject's teeth using an intraoral scanner, the method comprising:
taking surface images of the subject's teeth and forming a 3D surface model of at least a portion of the subject's teeth using the intraoral scanner as the intraoral scanner is moved over the teeth;
taking a plurality of images into the teeth using a near-infrared (near-IR) wavelength as the intraoral scanner is moved over the teeth by emitting a near-IR light from the intraoral scanner in a first polarization, and detecting, in an image sensor in the intraoral scanner, the near-IR light returning to the intraoral scanner, wherein the near-IR light returning to the intraoral scanner is filtered to remove specular reflection by filtering near-IR light in the first polarization from the near-IR light returning to the intraoral scanner before it reaches the image sensor;
constructing grid points for an inner volume of the 3D surface model;
determining, for each of the plurality of images into the teeth, a position of the intraoral scanner relative to the subject's teeth when each of the plurality of images is captured, using the 3D surface model data;
using the position of the intraoral scanner to project the grid points on each of the plurality of images into the teeth;
determine a minimum scattering coefficient for the projected grid points from all of the plurality of images into the teeth; and
forming the 3D volumetric model of the subject's teeth including internal features using the minimum scattering coefficient for the projected grid points.

13. An intraoral scanning system for generating a three-dimensional (3D) volumetric model of a subject's teeth, the system comprising:
a hand-held wand having at least one image sensor and a plurality of light sources, wherein the light sources are configured to emit light at a first spectral range and a second spectral range, wherein the second spectral range is within near-infrared (near-IR) range of wavelengths;
a filter in front of the image sensor configured to filter light in the second spectral range and a first polarization; and
one or more processors operably connected to the hand-held wand, the one or more processors configured to:
take surface images of the subject's teeth and forming a 3D surface model of at least a portion of the subject's teeth as the intraoral scanner is moved over the teeth;
take a plurality of images into the teeth using light in the second spectral range as the intraoral scanner is moved over the teeth by emitting a near-IR light from the intraoral scanner in the first polarization, and detecting, in the at least one image sensor in the intraoral scanner, the near-IR light returning to the intraoral scanner, wherein the near-IR light returning to the intraoral scanner is filtered to remove specular reflection by filtering near-IR light in the first polarization from the near-IR light returning to the intraoral scanner before it reaches the image sensor;
construct grid points for an inner volume of the 3D surface model;
determine, for each of the plurality of images into the teeth, a position of the hand-held wand relative to the subject's teeth using the 3D surface model data;
use the position of the intraoral scanner to project the grid points on each of the plurality of images into the teeth;
determine a minimum scattering coefficient for the projected grid points from all of the plurality of images into the teeth; and
form the 3D volumetric model of the subject's teeth including internal features using the minimum scattering coefficient for the projected grid points.

14. The system of claim 13 , wherein the hand-held wand comprises at least one additional secondary image sensor in addition to the image sensors.

15. The system of claim 13 , wherein the one or more processors is configured to determine surface information by using confocal focusing.

16. The system of claim 13 , wherein the one or more processors is configured to determine surface information by using confocal scanning, stereo vision or structured light triangulation.

17. The system

Assignees

• Align Technology Inc

Inventors

• Elbaz Gilad
• Lampert Erez
• Atiya Yossef
• Kopelman Avi
• Saphier Ofer
• Moshe Maayan
• Ayal Shai

Classifications

• G06Q10/40

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• G06T2210/41

  Medical · CPC title

• G06T17/00

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• G06T2207/30244

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• G06F16/9535 Primary

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