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:
Dec. 01, 2020
Filed:
Aug. 14, 2019
Applicant:
Siemens Healthcare Gmbh, Erlangen, DE;
Inventors:
Brian Teixeira, Verneuil-en-Halatte, FR;
Vivek Kumar Singh, Princeton, NJ (US);
Birgi Tamersoy, Erlangen, DE;
Assignee:
Siemens Healthcare GmbH, Erlangen, DE;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 6/00 (2006.01); A61B 5/055 (2006.01); G06N 3/04 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06T 7/514 (2017.01); G06T 11/00 (2006.01); A61B 5/05 (2006.01); G06K 9/62 (2006.01); A61B 5/00 (2006.01); G06T 7/70 (2017.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 6/5205 (2013.01); A61B 5/055 (2013.01); A61B 5/0515 (2013.01); A61B 6/463 (2013.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 7/514 (2017.01); G06T 11/003 (2013.01); A61B 5/0033 (2013.01); A61B 6/545 (2013.01); G06K 9/6262 (2013.01); G06K 9/6274 (2013.01); G06K 2209/055 (2013.01); G06N 3/0454 (2013.01); G06T 7/0014 (2013.01); G06T 7/70 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract
For anomaly detection based on topogram predication from surface data, a sensor captures the outside surface of a patient. A generative adversarial network (GAN) generates a topogram representing an interior anatomy based on the outside surface of the patient. An X-ray image of the patient is acquired and compared to the generated topogram. By quantifying the difference between the real X-ray image and the predicted one, anatomical anomalies may be detected.