US 12,102,423 B2
Autonomous magnetic resonance scanning for a given medical test
Boris Mailhe, Plainsboro, NJ (US); Dorin Comaniciu, Princeton, NJ (US); Ali Kamen, Skillman, NJ (US); Mariappan S. Nadar, Plainsboro, NJ (US); Bin Lou, Princeton Junction, NJ (US); Andreas Greiser, Erlangen (DE); and Venkata Veerendranadh Chebrolu, Rochester, MN (US)
Assigned to Siemens Healthineers AG, Forchheim (DE)
Filed by Siemens Healthineers AG, Forchheim (DE)
Filed on Jun. 16, 2022, as Appl. No. 17/807,218.
Claims priority of provisional application 63/308,508, filed on Feb. 10, 2022.
Prior Publication US 2023/0248255 A1, Aug. 10, 2023
Int. Cl. A61B 5/05 (2021.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); G01R 33/54 (2006.01)
CPC A61B 5/055 (2013.01) [A61B 5/0077 (2013.01); A61B 5/704 (2013.01); A61B 5/7221 (2013.01); A61B 5/7264 (2013.01); G01R 33/543 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method of data analytics for magnetic resonance (MR) scanning, the method comprising:
MR scanning a patient using a first configuration of an MR scanner based on a medical test during a MR examination and resulting in first raw data;
analyzing, by a first machine-learned model, the first raw data, the analyzing resulting in a change of the first configuration;
controlling the MR scanner with a second configuration based on the change from the first configuration;
MR scanning the patient using the second configuration of the MR scanner for the medical test as part of the same MR examination and resulting in second raw data; and
generating a diagnostic output of the medical test of the MR examination from the first and second raw data.