US 11,867,784 B2
Spiral MR imaging with off-resonance artefact correction
Peter Boernert, Hamburg (DE); Karsten Sommer, Hamburg (DE); Christophe Michael Jean Schulke, Hamburg (DE); and Johan Samuel Van Den Brink, Meteren (NL)
Assigned to Koninklijke Philips N.V., Eindhoven (NL)
Appl. No. 17/614,595
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Jun. 3, 2020, PCT No. PCT/EP2020/065273
§ 371(c)(1), (2) Date Nov. 29, 2021,
PCT Pub. No. WO2020/245144, PCT Pub. Date Dec. 10, 2020.
Claims priority of application No. 19178061 (EP), filed on Jun. 4, 2019.
Prior Publication US 2022/0229134 A1, Jul. 21, 2022
Int. Cl. G01R 33/48 (2006.01); G01R 33/561 (2006.01); G01R 33/565 (2006.01)
CPC G01R 33/4824 (2013.01) [G01R 33/5611 (2013.01); G01R 33/56563 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method of magnetic resonance (MR) imaging of an object positioned in an examination volume of an MR device, the method comprising:
subjecting the object to an imaging sequence comprising at least one RF excitation pulse and modulated magnetic field gradients,
acquiring MR signals along at least one non-Cartesian k-space trajectory,
reconstructing an MR image from the acquired MR signals,
deblurring the reconstructed MR image based on a B0 map; and
detecting one or more mal-sampling artefacts caused by inhomogeneity induced insufficient k-space sampling in the deblurred MR image using a deep learning network.