US 12,082,904 B2
Automatic generation of multi-resolution 3d model including restorative object
Ofer Saphier, Rechovot (IL); Pavel Agniashvili, Moscow (RU); Moti Ben-Dov, Tel Mond (IL); Ran Katz, Hod Hasharon (IL); Avi Kopelman, Palo Alto, CA (US); Maxim Volgin, Moscow (RU); Doron Malka, Tel Aviv (IL); Avraham Zulti, Modiin (IL); Pavel Veryovkin, Krasnogorsk (RU); Maayan Moshe, Ramat Hasharon (IL); Ido Tishel, Kfar Bilu (IL); Adi Levin, Nes Tziona (IL); Shai Farkash, Hod Hasharon (IL); Inna Karapetyan, Modiin (IL); Dina Bova, Shaar Efraim (IL); Edi Fridman, Rishon le Zion (IL); and Jonathan Coslovsky, Rehovot (IL)
Assigned to Align Technology, Inc., San Jose, CA (US)
Filed by Align Technology, Inc., San Jose, CA (US)
Filed on Jul. 30, 2021, as Appl. No. 17/390,856.
Application 17/390,856 is a continuation of application No. 17/230,825, filed on Apr. 14, 2021.
Claims priority of provisional application 63/010,667, filed on Apr. 15, 2020.
Prior Publication US 2021/0353153 A1, Nov. 18, 2021
Int. Cl. A61B 5/00 (2006.01); G06T 17/20 (2006.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01)
CPC A61B 5/004 (2013.01) [A61B 5/0033 (2013.01); A61B 5/0088 (2013.01); A61B 5/7267 (2013.01); A61B 5/7475 (2013.01); G06T 17/20 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06T 2210/41 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A system comprising:
an intraoral scanner to generate a first plurality of intraoral scans of a dental arch and a second plurality of intraoral scans of the dental arch; and
a computing device connected to the intraoral scanner via a wired or wireless connection, the computing device to:a
receive the first plurality of intraoral scans of the dental arch;
automatically determine, based on processing of the first plurality of intraoral scans using a trained machine learning model that has been trained to identify restorative dental objects, that the first plurality of intraoral scans depict a restorative dental object, wherein for each intraoral scan the trained machine learning model generates an output classifying the intraoral scan as containing a restorative dental object or as not containing a restorative dental object;
receive the second plurality of intraoral scans of the dental arch;
automatically determine, based on processing of the second plurality of intraoral scans, that the second plurality of intraoral scans fail to depict a restorative dental object; and
generate a three-dimensional model of the dental arch having a first portion corresponding to the restorative dental object and a second portion that does not correspond to the restorative dental object, wherein the first portion is generated from the first plurality of intraoral scans at a first resolution in response to determining that the first plurality of intraoral scans depict the restorative dental object, and wherein the second portion is generated from the second plurality of intraoral scans at a second resolution in response to determining that the second plurality of intraoral scans fail to depict a restorative dental object, wherein the first resolution is greater than the second resolution.