US 11,860,257 B2
Method for acquiring a three-dimensional magnetic resonance image dataset and for generating a motion-corrected image dataset
Daniel Polak, Erlangen (DE); and Stephen Farman Cauley, Somerville, MA (US)
Assigned to Siemens Healthcare GmbH, Erlangen (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Apr. 7, 2022, as Appl. No. 17/715,391.
Claims priority of application No. 21167589 (EP), filed on Apr. 9, 2021.
Prior Publication US 2022/0326330 A1, Oct. 13, 2022
Int. Cl. G01V 3/00 (2006.01); G01R 33/565 (2006.01); G01R 33/48 (2006.01); G01R 33/561 (2006.01)
CPC G01R 33/56509 (2013.01) [G01R 33/4818 (2013.01); G01R 33/5611 (2013.01); G01R 33/5615 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
acquiring a three-dimensional magnetic resonance image dataset of an object, using an imaging protocol in which several k-space lines are acquired in one shot, the imaging protocol including a plurality of shots,
wherein spatial encoding is performed using phase encoding gradients along two spatial dimensions, and using frequency encoding along a third spatial dimension,
wherein the k-space is a three-dimensional k-space including a central region and a periphery,
wherein a sampling order of the k-space lines differs between the central region and the periphery,
wherein at least one k-space line from each of the plurality of shots passes through the central region, and
wherein the periphery includes regions which are sampled by k-space lines from a subset of the plurality of shots.