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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12254565 B1

PDFFull Text
Date of Patent:
Mar. 18, 2025

Filed:

Oct. 26, 2023

Visualization of post-treatment outcomes for medical treatment

Applicant:

Align Technology, Inc., San Jose, CA (US);

Inventors:

Endri Dibra, Zurich, CH;

Niko Benjamin Huber, Zug, CH;

Assignee:

Align Technology, Inc., San Jose, CA (US);

Attorney:

Lowenstein Sandler LLP

Primary Examiner:

Michelle Chin

Int. Cl.
CPC ...
G06T 17/00 (2006.01); A61B 34/10 (2016.01); A61B 90/00 (2016.01); G06F 18/214 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 15/20 (2011.01); G06T 17/20 (2006.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); A61B 17/00 (2006.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); A61B 34/10 (2016.02); A61B 90/361 (2016.02); A61B 90/37 (2016.02); G06F 18/214 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 15/205 (2013.01); G06T 17/20 (2013.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); A61B 2017/00796 (2013.01); A61B 2034/104 (2016.02); A61B 2034/105 (2016.02); A61B 2090/363 (2016.02); A61B 2090/367 (2016.02); A61B 2090/373 (2016.02); G06T 2200/24 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2210/41 (2013.01);
Abstract

Embodiments include obtaining an input image depicting a body part of a person and processing the input image against a set of semantic landmarks representing landmarks of the body part; obtaining a mesh model for a set of images; generating, from the mesh model and the set of semantic landmarks, a body part mesh of the person, wherein the body part mesh is an approximation of a 3D model for the body part depicted in the input image; obtaining a target body part mesh data structure, distinct from the body part mesh; and generating a modified view image of the body part, modified to reflect differences between the target body part mesh data structure and the body part mesh while retaining at least some texture of the body part from the input image.

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