IP Library › Granted Patent US 12,136,208
Granted Patent B2
US 12,136,208 · App. 17/219,161 · Granted Nov 5, 2024

Automatic clean up of jaw scans

Inventors: Fedor Chelnokov (Khimki, RU); Grant Karapetyan (Moscow, RU); Stanislav Shushkevich (Moscow Region, RU)
Assignee: James R. Glidewell Dental Ceramics, Inc.
G06T7/0012G06T5/00G06T5/70G06T7/11G06T7/60G06T15/205G06T17/20G06T2207/20084G06T2207/20221G06T2207/30036
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Quick Facts
Patent No.
US 12,136,208
App. No.
17/219,161
Granted
Nov 5, 2024
Kind
B2
Abstract

A computer-implemented method and system performs segmentation on at least a portion of the digital jaw to provide one or more digital surface segments, determines a digital tooth center for at least one digital tooth in the digital jaw, determines a digital tooth area around the digital tooth center, deletes one or more surface segments not intersecting with the digital tooth area; and smooths a mesh boundary.

Claims (42)

1. A computer-implemented method of processing a digital jaw scan, comprising:

receiving a digital model comprising a digital jaw;

performing segmentation on at least a portion of the digital jaw to provide one or more digital surface segments comprising a digital surface mesh;

determining a digital tooth center for at least one digital tooth in the digital jaw;

determining a digital tooth area around the digital tooth center;

deleting one or more surface segments not intersecting with the digital tooth area; and

smoothing a digital surface mesh boundary,

wherein smoothing the digital surface mesh boundary comprises performing erosion and dilation at a boundary region, and deleting one or more boundary regions not reached by the dilation.

2. The method of claim 1 , wherein the segmentation comprises curvature based segmentation.

3. The method of claim 1 , wherein performing segmentation comprises determining one or more geometric properties of boundaries between the one or more digital surface segments.

4. The method of claim 3 , wherein the one or more geometric properties a comprises a convex boundary.

5. The method of claim 1 , further comprising merging one or more initial digital surface segments into one or more merged digital surface segments based on a merge metric.

6. The method of claim 5 , wherein the merge metric is based on a perimeter of an after-merged segment and an average mean curvature on a boundary between a pair of adjacent initial digital surface segments.

7. The method of claim 1 , wherein determining the digital tooth center comprises determining a bounding region for one or more digital teeth in the digital jaw.

8. The method of claim 7 , wherein the digital tooth center is determined by using a trained neural network.

9. A system of processing a digital jaw scan, comprising:

a processor; and

a computer-readable storage medium comprising instructions executable by the processor to perform steps comprising:

receiving a digital model comprising a digital jaw;

performing segmentation on at least a portion of the digital jaw to provide one or more digital surface segments comprising a digital surface mesh;

determining a digital tooth center for at least one digital tooth in the digital jaw;

determining a digital tooth area around the digital tooth center;

deleting one or more surface segments not intersecting with the digital tooth area; and

smoothing a digital surface mesh boundary,

wherein smoothing the digital surface mesh boundary comprises performing erosion and dilation, and deleting one or more boundary regions not reached by the dilation.

10. The system of claim 9 , wherein the segmentation comprises curvature-based segmentation.

11. The system of claim 9 , wherein the digital surface segments are separated by a geometric boundary.

12. The system of claim 11 , wherein the geometric boundary comprises a convex boundary.

13. The system of claim 9 , further comprising merging one or more initial digital surface segments into one or more merged digital surface segments based on a merge metric.

14. The system of claim 13 , wherein the merge metric is based on a perimeter of an after-merged segment and an average mean curvature on a boundary between a pair of adjacent initial digital surface segments.

15. The system of claim 9 , wherein determining the digital tooth center comprises determining a bounding region for one or more digital teeth in the digital jaw.

16. The system of claim 15 , wherein the digital tooth center is determined by using a trained neural network.

17. A non-transitory computer readable medium storing executable computer program instructions for processing a digital jaw scan, the computer program instructions comprising instructions that when executed by a computer, cause the computer to perform:

performing segmentation on at least a portion of the digital jaw to provide one or more digital surface segments comprising a digital surface mesh;

determining a digital tooth center for at least one digital tooth in the digital jaw;

determining a digital tooth area around the digital tooth center;

deleting one or more surface segments not intersecting with the digital tooth area; and

smoothing a digital surface mesh boundary,

wherein smoothing the digital surface mesh boundary comprises performing erosion and dilation, and deleting one or more boundary regions not reached by the dilation.

18. The medium of claim 17 , wherein the segmentation comprises curvature-based segmentation.

19. The medium of claim 17 , wherein determining the digital tooth center comprises determining a bounding region for one or more digital teeth in the digital jaw.

20. The medium of claim 19 , wherein the digital tooth center is determined by using a trained neural network.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2022
From: CHELNOKOV, FEDOR; KARAPETYAN, GRANT; SHUSHKEVICH, STANISLAV
To: JAMES R. GLIDEWELL DENTAL CERAMICS, INC.
Reel/Frame 059267/0276 →
Continuity (1)
Related Publication 20220318989A1 · Oct 6, 2022
Cited By (1)
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