IP Library Granted Patent US 10,964,121
Granted Patent B2
US 10,964,121 · App. 16/165,439 · Granted Mar 30, 2021

Technologies for merging three-dimensional models of dental impressions

Inventors: Christopher Yancey (Nashville, TN); Josh Long (Nashville, TN)
Assignee: SDC U.S. SmilePay SPV
G06T19/20G06T2210/41G06T2219/2004
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Quick Facts
Patent No.
US 10,964,121
App. No.
16/165,439
Granted
Mar 30, 2021
Kind
B2
Abstract

Technologies for merging three-dimensional models of dental impressions include a computing device that generates multiple three-dimensional models that are each indicative of a dental impression of a user's dental arch. The models may be generated by scanning the dental impressions. The computing device determines whether a model is indicative of the complete anatomy of the user's arch and, if not, merges multiple models with a merge strategy to generate a merged model. The models may be merged by aligning geometry of the models, selecting geometry from one of the models using the merge strategy, and generating the merged model that includes the selected geometry. The merge strategy may include selecting from the model associated with the dental impression that includes the most detail of the user's anatomy or selecting from the model with the greatest depth.

Claims (55)

1. A computing device for dental impression scan merging, the computing device comprising:

a model manager configured to generate a first model and a second model, the first model comprising a three-dimensional model indicative of a first dental impression of a dental arch of a user, the second model comprising a three-dimensional model indicative of a second dental impression of the same dental arch of the user;

a merge manager configured to merge the first model and the second model, wherein merging the first model and the second model comprises:

selecting a geometry of the first model or a geometry of the second model, the geometry of the first model and the geometry of the second model being associated with a common feature in the dental arch of the user; and

generating a merged model that includes the selected geometry; and

a manufacturing manager configured to use the merged model for manufacturing a dental aligner specific to the dental arch of the user and being configured to reposition one or more teeth of the user.

2. The computing device of claim 1 , wherein:

the model manager is further configured to generate a third model that comprises a three-dimensional model indicative of a third dental impression of the dental arch of the user; and

the merge manager is further configured to generate a second merged model by merging the first model, the second model, and the third model.

3. The computing device of claim 1 , wherein merging the first model and the second model further comprises:

aligning the geometry of the first model and the geometry of the second model;

selecting geometry of the first model to include in the merged model; and

selecting geometry of the second model to include in the merged model, wherein the geometry of the second model completes an incomplete part of the first model; and

wherein generating the merged model includes the selected geometry of the first model and the selected geometry of the second model.

4. The computing device of claim 1 , wherein selecting the geometry of the first model or the geometry of the second model comprises:

determining whether the first dental impression includes more detail at the common feature than the second dental impression; and

selecting the geometry of the first model based on the first dental impression including more detail at the common feature.

5. The computing device of claim 1 , wherein selecting the geometry of the first model or the geometry of the second model comprises:

determining whether the first model includes greater depth at the common feature than the second model; and

selecting the geometry of the first model based on the first model including greater depth at the common feature.

6. The computing device of claim 5 , wherein determining whether the first model includes greater depth comprises determining whether the first dental impression includes an impression from a tip of a tooth to a gingival line.

7. The computing device of claim 5 , wherein determining whether the first model includes greater depth comprises determining a distance from a bottom of the first dental impression corresponding to a tip of a tooth to a top of the first dental impression corresponding to a surface of a dental impression mixture.

8. The computing device of claim 1 , wherein merging the first model and the second model further comprises cleaning the merged model to generate a closed surface.

9. The computing device of claim 1 , wherein merging the first model and the second model further comprises generating a plurality of merged models.

10. The computing device of claim 9 , wherein the merge manager is further configured to select a particular merged model from the plurality of merged models.

11. The computing device of claim 1 , wherein:

generating the first model comprises receiving a scan of the first dental impression; and

generating the second model comprises receiving a scan of the second dental impression.

12. A method for dental impression scan merging, the method comprising:

generating, by a computing device, a first model and a second model, the first model comprising a three-dimensional model indicative of a first dental impression of a dental arch of a user, the second model comprising a three-dimensional model indicative of a second dental impression of the same dental arch of the user;

merging, by the computing device, the first model and the second model, wherein merging the first model and the second model comprises:

selecting a geometry of the first model or a geometry of the second model, the geometry of the first model and the geometry of the second model being associated with a common feature in the dental arch of the user; and

generating a merged model that includes the selected geometry; and

manufacturing a dental aligner based on the merged model, the dental aligner being specific to the dental arch of the user and being configured to reposition one or more teeth of the user.

13. The method of claim 12 , wherein selecting the geometry of the first model or the geometry of the second model comprises:

determining whether the first dental impression includes more detail at the common feature than the second dental impression; and

selecting the geometry of the first model based on the first dental impression including more detail at the common feature.

14. The method of claim 12 , wherein selecting the geometry of the first model or the geometry of the second model comprises:

determining whether the first model includes greater depth at the common feature than the second model; and

selecting the geometry of the first model based on the first model including greater depth at the common feature.

15. The method of claim 14 , wherein determining whether the first model includes greater depth comprises determining whether the first dental impression includes an impression from a tip of a tooth to a gingival line.

16. The method of claim 14 , wherein determining whether the first model includes greater depth comprises determining a distance from a tip of a tooth in the dental impression to a surface of a dental impression mixture.

17. The method of claim 14 , wherein determining whether the first model includes greater depth comprises:

combining the first model and the second model into multiple layers; and

identifying lower points from the multiple layers, the lower points corresponding to the selected geometry.

18. The method of claim 12 , wherein merging the first model and the second model further comprises:

aligning the geometry of the first model and the geometry of the second model using one or more points of the first model and of the second model;

selecting geometry of the first model to include in the merged model; and

selecting geometry of the second model to include in the merged model, wherein the geometry of the second model completes an incomplete part of the first model; and

wherein the merged model includes the selected geometry of the first model and the selected geometry of the second model.

19. A method for dental impression scan merging, the method comprising:

generating, by a computing device, a first model and a second model, the first model comprising a three-dimensional model of an initial dental impression of a dental arch of a user, the second model comprising a three-dimensional model of a redundant dental impression of the same dental arch of the user;

merging, by the computing device, the first model and the second model, wherein merging the first model and the second model comprises aligning one or more common points of the first model and of the second model;

manufacturing a dental aligner based on the merged model, the dental aligner being specific to the dental arch of the user and being configured to reposition one or more teeth of the user.

20. The method of claim 19 , further comprising scanning the initial dental impression and the redundant dental impression with a scanning device to acquire information necessary to generate the first model and the second model.

Assignments (6)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 29, 2024
From: SDC U.S. SMILEPAY SPV
To: OTIP HOLDING, LLC
Reel/Frame 068178/0379 →
SECURITY INTEREST Recorded Apr 28, 2022
From: SDC U.S. SMILEPAY SPV
To: HPS INVESTMENT PARTNERS, LLC
Reel/Frame 059820/0026 →
RELEASE OF SECURITY INTEREST Recorded Apr 14, 2021
From: JPMORGAN CHASE BANK, N.A.
To: SMILEDIRECTCLUB, LLC
Reel/Frame 055921/0507 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 27, 2021
From: YANCEY, CHRISTOPHER; LONG, JOSH
To: SMILEDIRECTCLUB LLC
Reel/Frame 055050/0987 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 15, 2020
From: SMILEDIRECTCLUB, LLC
To: SDC U.S. SMILEPAY SPV
Reel/Frame 052672/0569 →
SECURITY INTEREST Recorded Jun 17, 2019
From: SMILEDIRECTCLUB, LLC
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 049483/0594 →
Continuity (2)
Continuation 15825760 · Nov 29, 2017
Related Publication 20190164352A1 · May 30, 2019