US 11,727,567 B2
Method for generating synthetic X-ray images, control unit, and computer program
Alois Regensburger, Poxdorf (DE)
Assigned to Siemens Healthcare GmbH, Erlangen (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Dec. 19, 2022, as Appl. No. 18/84,537.
Claims priority of application No. 10 2021 214 741.0 (DE), filed on Dec. 20, 2021.
Prior Publication US 2023/0196571 A1, Jun. 22, 2023
Int. Cl. G06T 7/00 (2017.01); G06V 10/24 (2022.01); G06V 10/82 (2022.01); G06V 10/74 (2022.01)
CPC G06T 7/0012 (2013.01) [G06V 10/24 (2022.01); G06V 10/761 (2022.01); G06V 10/82 (2022.01); G06T 2207/10116 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for generating synthetic X-ray images, the method comprising:
providing a trained first neural network for generating at least one synthetic X-ray image of specified quality, and a trained second neural network for providing characterizing properties from at least one secondary X-ray image for the first neural network, wherein the first neural network and the second neural network are trainable by primary X-ray images each having a specified minimum quality;
ascertaining the characterizing properties using the at least one secondary X-ray image that has a lower quality compared to the primary X-ray images, by the second neural network; and
generating the at least one synthetic X-ray image by the first neural network using the characterizing properties provided by the second neural network, the at least one synthetic X-ray image being improved with respect to quality compared to the at least one secondary X-ray image.