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.

Date of Patent:
Dec. 27, 2022

Filed:

Sep. 13, 2018
Applicant:

Siemens Medical Solutions Usa, Inc., Malvern, PA (US);

Inventors:

Gareth Funka-Lea, Cranbury, NJ (US);

Haofu Liao, Rochester, NY (US);

Shaohua Kevin Zhou, Plainsboro, NJ (US);

Yefeng Zheng, Princeton Junction, NJ (US);

Yucheng Tang, Nashville, TN (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 8/12 (2006.01); G06T 7/12 (2017.01); G06T 7/33 (2017.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01); A61B 8/14 (2006.01); A61B 90/00 (2016.01); A61B 5/11 (2006.01); A61B 6/12 (2006.01); A61B 5/06 (2006.01); A61B 8/13 (2006.01); G06T 15/20 (2011.01); A61B 18/14 (2006.01); G06T 13/20 (2011.01); A61B 5/055 (2006.01); A61B 18/00 (2006.01);
U.S. Cl.
CPC ...
A61B 8/0883 (2013.01); A61B 5/06 (2013.01); A61B 5/1128 (2013.01); A61B 6/12 (2013.01); A61B 8/12 (2013.01); A61B 8/13 (2013.01); A61B 8/145 (2013.01); A61B 8/483 (2013.01); A61B 8/5207 (2013.01); A61B 8/5215 (2013.01); A61B 8/5261 (2013.01); A61B 90/37 (2016.02); G06T 15/205 (2013.01); A61B 5/055 (2013.01); A61B 8/0891 (2013.01); A61B 8/4245 (2013.01); A61B 8/4254 (2013.01); A61B 8/4483 (2013.01); A61B 8/466 (2013.01); A61B 18/1492 (2013.01); A61B 2018/00357 (2013.01); A61B 2018/00577 (2013.01); A61B 2090/363 (2016.02); A61B 2090/367 (2016.02); A61B 2090/374 (2016.02); A61B 2090/378 (2016.02); A61B 2090/3762 (2016.02); G06T 7/12 (2017.01); G06T 7/344 (2017.01); G06T 13/20 (2013.01); G06T 2200/08 (2013.01); G06T 2207/10136 (2013.01); G06T 2207/20004 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01);
Abstract

For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. The machine-learnt multi-task generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. The machine-learnt multi-task generator is trained to output both the 3D segmentation and a complete volume. The 3D segmentation may be used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.


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