IP Library › Granted Patent US 11,759,295
Granted Patent B2
US 11,759,295 · App. 17/209,166 · Granted Sep 19, 2023

Diagnostic intraoral methods and apparatuses

Inventors: Michael Sabina (Campbell, CA); Avi Kopelman (Palo Alto, CA); Eric Kuo (San Jose, CA); Gilad Elbaz (Tel Aviv, IL); Assaf Weiss (Yavne, IL); Doron Malka (Tel Aviv, IL); Ofer Saphier (Rehovot, IL); Eliahou Franklin Nizard (Jerusalem, IL); Ido Tishel (Kfar Bilu, IL); Shai Ayal (Shoham, IL); Maayan Moshe (Ra'anana, IL)
Assignee: Align Technology, Inc.
A61C9/0053A61B1/000094A61B1/000096A61B1/00172A61B1/00186A61B1/00194A61B1/0638A61B1/0646A61B1/24A61B5/0086A61B5/0088A61B6/145A61C7/002A61C13/0004G06T19/00A61B5/0062A61B5/0066A61B5/4547A61C13/0019A61C13/34G06T2200/24G06T2207/30036G06T2210/41
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Quick Facts
Patent No.
US 11,759,295
App. No.
17/209,166
Granted
Sep 19, 2023
Kind
B2
Abstract

Methods and apparatuses for taking, using and displaying three-dimensional (3D) volumetric models of a patient's dental arch. A 3D volumetric model may include surface (e.g., color) information as well as information on internal structure, such as near-infrared (near-IR) transparency values for internal structures including enamel and dentin.

Claims (28)

1. A method of displaying pseudo X-ray images from a three-dimensional (3D) model of a patient's dental arch, the method comprising:

collecting the 3D model of the patient's dental arch, wherein the 3D model includes near-infrared (near-IR) transparency values of internal structures within the patient's dental arch;

generating a two-dimensional (2D) view extracted from the 3D model of the patient's dental arch, wherein the 2D view includes the near-IR transparency values of the internal structures from the 3D model;

mapping the near-IR transparency values of the internal structures in the 2D view to a pseudo X-ray density in which pseudo X-ray density in the 2D view is based on the near-IR transparency values that are inverted in value; and

displaying the mapped pseudo X-ray density as one or more pseudo X-ray images.

2. The method of claim 1 , further comprising identifying individual teeth or groups of teeth from the 3D model.

3. The method of claim 2 , wherein the individual teeth or groups of teeth are identified automatically.

4. The method of claim 2 , wherein identifying the individual teeth or groups of teeth by segmenting the 3D model using machine learning.

5. The method of claim 1 , wherein collecting the 3D model comprises collecting data based on absorption coefficients of material of the patient's dental arch.

6. The method of claim 1 , wherein displaying the one or more pseudo X-ray images comprises projecting through the 3D model for a fixed direction.

7. The method of claim 1 , wherein displaying the one or more pseudo X-ray images comprises distinguishably presenting dentin, enamel and caries of teeth of the patient's dental arch.

8. The method of claim 7 , wherein the dentin and caries are presented as darker than the enamel.

9. The method of claim 1 , further comprising applying coloring to certain regions of the patient's dental arch in the one or more pseudo X-ray images.

10. The method of claim 9 , wherein marked regions of the patient's dental arch are colored in a first color and unmarked regions are colored in a second color different than the first color.

11. The method of claim 1 , further comprising comparing the one or more pseudo X-ray images with one or more actual X-ray images.

12. The method of claim 1 , further comprising generating a panel of pseudo X-ray images for each of the patient's teeth.

13. A method of displaying pseudo X-ray images from a three-dimensional (3D) model of a patient's dental arch, the method comprising:

collecting the 3D model of the patient's dental arch, wherein the 3D model includes surface features and near-infrared (near-IR) transparency values of internal structures within the patient's dental arch in which enamel is more transparent than dentin;

generating a two-dimensional (2D) view extracted from the 3D model including the patient's dental arch, wherein the 2D view includes the near-IR transparency values of the internal structures including the dentin and the enamel;

mapping the near-IR transparency values of the internal structures in the 2D view to a pseudo X-ray density in which the near-IR transparency values are inverted in value so that the enamel is brighter than the dentin; and

displaying the mapped pseudo X-ray density as one or more pseudo X-ray images.

14. The method of claim 13 , displaying the one or more pseudo X-ray images comprises presenting certain internal features with one or more annotation, coloring, and texturing.

15. The method of claim 13 , displaying the one or more pseudo X-ray images comprises generating a panel of pseudo X-ray images for each of the patient's teeth.

16. The method of claim 13 , wherein the near-IR transparency values are inverted in value such that the enamel is brighter than caries in the patient's teeth.

17. The method of claim 13 , wherein displaying the one or more pseudo X-ray images comprises projecting through the 3D model for a fixed direction.

18. The method of claim 13 , wherein the one or more pseudo X-ray images are generated from a volume or sub-sets of the volume corresponding to individual teeth.

19. The method of claim 13 , further comprising identifying individual teeth or groups of teeth from the 3D model.

20. The method of claim 13 , wherein collecting the 3D model comprises collecting data based on absorption coefficients of material of the patient's dental arch.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 13, 2022
From: SABINA, MICHAEL; KOPELMAN, AVI; KUO, ERIC; ELBAZ, GILAD; WEISS, ASSAF; MALKA, DORON; SAPHIER, OFER; NIZARD, ELIAHOU FRANKLIN; TISHEL, IDO; AYAL, SHAI; MOSHE, MAAYAN
To: ALIGN TECHNOLOGY, INC.
Reel/Frame 061082/0455 →
Continuity (4)
Continuation 16258527 · Jan 25, 2019
Provisional Application 62758503 · Nov 9, 2018
Provisional Application 62622798 · Jan 26, 2018
Related Publication 20210205054A1 · Jul 8, 2021
Cited By (2)
US 12,205,689 US 12,527,651