US 12,352,838 B2
Method of reconstructing a dynamic series of motion-compensated magnetic resonance images
Karl-Philipp Kunze, London (GB); and Radhouene Neji, London (GB)
Assigned to Siemens Healthineers AG, Forchheim (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Jun. 29, 2022, as Appl. No. 17/853,902.
Claims priority of application No. 2109424 (GB), filed on Jun. 30, 2021.
Prior Publication US 2023/0010419 A1, Jan. 12, 2023
Int. Cl. G01R 33/561 (2006.01); A61B 5/055 (2006.01); G01R 33/563 (2006.01); G01R 33/565 (2006.01)
CPC G01R 33/5611 (2013.01) [A61B 5/055 (2013.01); G01R 33/56308 (2013.01); G01R 33/56509 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method of reconstructing a dynamic series of motion-compensated magnetic resonance images of a patient, the computer-implemented method comprising:
acquiring, over time, at a first image resolution and on a frame-by-frame basis, k-space data of a dynamic series of magnetic resonance images of the patient over successive respiratory cycles, cardiac cycles, or respiratory cycles and cardiac cycles, wherein each frame of the k-space data comprises a first subset of data points having a first sample density and a second subset of data points having a second sample density;
selecting, for each frame, a respective sub-group of the first subset of data points and the second subset of data points of the k-space data and reconstructing, for each frame, an image, at a second image resolution, from the selected sub-groups;
estimating a motion between the second image resolution images in a form of motion fields; and
incorporating the motion fields into a final reconstruction of the dynamic series of motion-compensated magnetic resonance images of the patient at a third image resolution,
wherein the first subset of data points is a region undersampled coherently across the dynamic series of magnetic resonance images in a dimension of k-space, and the second subset of data points is a region undersampled incoherently across the dynamic series of magnetic resonance images in the dimension of k-space.