US 11,998,376 B2
Method for generating training data for training an algorithm for estimating positioning variances in an imaging apparatus of an x-ray imaging system
Josef Zeidler, Marktredwitz (DE); Alexander Krämer, Irchenrieth (DE); Gerhard Wurzer, Mantel (DE); and Berthold Baumann, Kastl (DE)
Assigned to Siemens Healthineers AG, Forchheim (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Jun. 22, 2023, as Appl. No. 18/212,864.
Claims priority of application No. 10 2022 206 561.1 (DE), filed on Jun. 29, 2022.
Prior Publication US 2024/0000409 A1, Jan. 4, 2024
Int. Cl. A61B 6/00 (2006.01); G06T 7/00 (2017.01); G16H 50/20 (2018.01); A61B 6/40 (2024.01)
CPC A61B 6/4458 (2013.01) [A61B 6/4441 (2013.01); G06T 7/0012 (2013.01); G16H 50/20 (2018.01); A61B 6/405 (2013.01); G06T 2207/20081 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A computer-implemented method for generating training data for training an algorithm for estimating positioning variances in an imaging apparatus of an x-ray imaging system, the computer-implemented method comprising:
predetermining target positioning data for the imaging apparatus;
calculating faulty positioning data as a function of the target positioning data, wherein the faulty positioning data deviates from the target positioning data by at least one predetermined positioning variance;
simulating an imaging method, wherein two or more simulated x-ray recordings are generated, wherein a positioning of the imaging apparatus is simulated in accordance with the faulty positioning data; and
generating and storing an annotated training data record that comprises the two or more simulated x-ray recordings and at least one positioning variance as an annotation of the two or more simulated x-ray recordings.