US 11,719,776 B2
Provision of position information of a local RF coil
Michael Köhler, Nuremberg (DE); Johann Sukkau, Herzogenaurach (DE); and Michael Wullenweber, Erlangen (DE)
Assigned to Siemens Healthcare GmbH, Erlangen (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Sep. 30, 2021, as Appl. No. 17/490,206.
Claims priority of application No. 102020212316.0 (DE), filed on Sep. 30, 2020; and application No. 102020213900.8 (DE), filed on Nov. 4, 2020.
Prior Publication US 2022/0099766 A1, Mar. 31, 2022
Int. Cl. G01R 33/34 (2006.01); A61B 5/055 (2006.01); G01R 33/56 (2006.01)
CPC G01R 33/34092 (2013.01) [A61B 5/055 (2013.01); G01R 33/5608 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for providing a result dataset including position information of a local radio-frequency coil, the method comprising:
providing input data including input magnetic resonance data, which is acquired by means of the local radio-frequency coil,
wherein the input magnetic resonance data is normalized with respect to magnetic resonance data acquired via a radio-frequency body coil by performing a division of magnetic resonance data acquired via the local radio-frequency coil by magnetic resonance data acquired via the radio-frequency body coil for each spatial point, and
wherein a receive profile of the magnetic resonance data acquired via the radio-frequency body coil is more homogenous than a receive profile of the magnetic resonance data acquired via the local radio-frequency coil;
determining a result dataset by applying a trained function to the input data, the trained function comprising an artificial neural network (ANN),
wherein the result dataset includes position information for determining the position of the local radio-frequency coil; and
providing the result dataset.