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.:
Date of Patent:
Feb. 22, 2022
Filed:
Jul. 20, 2018
Applicant:
Siemens Healthcare Gmbh, Erlangen, DE;
Inventors:
Brian Teixeira, Verneuil-en-Halatte, FR;
Vivek Kumar Singh, Princeton, NJ (US);
Birgi Tamersoy, Erlangen, DE;
Terrence Chen, Princeton, NJ (US);
Kai Ma, Princeton, NJ (US);
Andreas Krauss, Bubenreuth, DE;
Assignee:
Siemens Healthcare GmbH, Erlangen, DE;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); A61B 5/0515 (2021.01); G06T 5/00 (2006.01); A61B 5/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); A61B 5/055 (2006.01); G06K 9/62 (2022.01); A61B 90/00 (2016.01); G16H 30/20 (2018.01); G06N 20/00 (2019.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01); A61B 5/107 (2006.01);
U.S. Cl.
CPC ...
G06T 11/003 (2013.01); A61B 5/0033 (2013.01); A61B 5/055 (2013.01); A61B 5/0515 (2013.01); A61B 6/463 (2013.01); A61B 6/5205 (2013.01); A61B 6/545 (2013.01); A61B 90/361 (2016.02); G06K 9/6262 (2013.01); G06K 9/6274 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06T 5/00 (2013.01); G06T 7/0014 (2013.01); G16H 30/20 (2018.01); A61B 5/107 (2013.01); G06K 2209/055 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract
For topogram predication from surface data, a sensor captures the outside surface of a patient. A generative adversarial network (GAN) generates the topogram representing an interior organ based on the outside surface of the patient. To further adapt to specific patients, internal landmarks are used in the topogram prediction. The topogram generated by one generator of the GAN may be altered based on landmarks generated by another generator.