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:
Oct. 01, 2024

Filed:

Mar. 03, 2021
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Parmeet Bhatia, Paoli, PA (US);

Yimo Guo, Chester Springs, PA (US);

Gerardo Hermosillo Valadez, West Chester, PA (US);

Zhigang Peng, Ambler, PA (US);

Yu Zhao, Athens, GA (US);

Assignee:

SIEMENS HEALTHINEERS AG, Forchheim, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 90/00 (2016.01); G06T 3/60 (2006.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06V 10/22 (2022.01); G06V 10/40 (2022.01); G06V 10/82 (2022.01); G06V 30/24 (2022.01);
U.S. Cl.
CPC ...
G06T 7/73 (2017.01); A61B 90/36 (2016.02); G06T 3/60 (2013.01); G06T 7/0012 (2013.01); G06T 7/70 (2017.01); G06V 10/22 (2022.01); G06V 10/40 (2022.01); G06V 10/82 (2022.01); G06V 30/2504 (2022.01); A61B 2090/363 (2016.02); G06T 2207/30004 (2013.01);
Abstract

Disclosed is a computer-implemented method for detecting one or more anatomic landmarks in medical image data. In an embodiment, the method includes receiving a medical image data set depicting a body part of a patient; and determining a first set of anatomic landmarks from a first representation of the medical image data set at a first resolution by applying a first trained function to the first representation of the medical image data set. Based on that, a second set of anatomic landmarks is determined from a second representation of the medical image data set at a second resolution, the second resolution being higher than the first resolution, by applying a second trained function different than the first trained function to the second representation of the medical image data set and using the first set of landmarks by the second trained function.


Find Patent Forward Citations

Loading…