US 12,076,111 B2
Using cardiac motion for beat-to-beat optimisation of varying and constant fractions of cardiac cycles in segmented k-space MRI acquisitions
Peter Speier, Erlangen (DE); and Peter Gatehouse, London (GB)
Assigned to Siemens Healthineers AG, Forchheim (DE); and Guy's & St. Thomas' NHS Foundation Trust, London (GB)
Filed by Siemens Healthineers AG, Forchheim (DE); and Guy's & St. Thomas' NHS Foundation Trust, London (GB)
Filed on Aug. 26, 2022, as Appl. No. 17/896,221.
Claims priority of application No. 21194078 (EP), filed on Aug. 31, 2021.
Prior Publication US 2023/0072744 A1, Mar. 9, 2023
Int. Cl. A61B 5/00 (2006.01); G01R 33/563 (2006.01); G01R 33/567 (2006.01)
CPC A61B 5/0044 (2013.01) [A61B 5/7285 (2013.01); G01R 33/56325 (2013.01); G01R 33/5673 (2013.01); G01R 33/5676 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving a first time series of data values associated with a first cardiac cycle;
scaling the first time series of data values to a reference time length of a reference cardiac cycle, the scaling including applying a model to the first time series of data values to generate a first scaled time series of data values associated with the first cardiac cycle;
receiving a second time series of data values associated with a second cardiac cycle, at least one of the first time series of data values or the second time series of data values includes a Magnetohydrodynamic effect a patient;
scaling the second time series of data values to the reference time length of the reference cardiac cycle, the scaling the second time series including applying the model to the second time series of data values to generate a second scaled time series of data values associated with the second cardiac cycle; and
determining model parameters of the model based on a difference between the first scaled time series of data values and the second scaled time series of data values.