Patent ID: 11940519
Assignee: SIEMENS HEALTHINEERS AG
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. The method according to claim 10, wherein the first artificial neural network and the second artificial neural network are trained by:
storing a simulated magnetic susceptibility map in a computer-readable fashion;
combining an influence of one or more external magnetic susceptibility sources with the simulated magnetic susceptibility map to generate a modified magnetic susceptibility map;
storing the modified magnetic susceptibility map in a computer-readable fashion;
applying a predetermined quantitative susceptibility mapping model to the modified magnetic susceptibility map to generate a first training image;
storing the first training image in a computer-readable fashion;
applying the first artificial neural network to the first training image and applying the second artificial neural network to an output of the first artificial neural network; and
changing first network parameters of the first artificial neural network and second network parameters of the second artificial neural network based on a deviation of an output of the second artificial neural network from the simulated magnetic susceptibility map.