Treffer: MRI-NUFFT: An open source Python package to make non-Cartesian MR Imaging easier
collection:INRIA
collection:INRIA-SACLAY
collection:INRIA_TEST
collection:TESTALAIN1
collection:INRIA2
collection:CEA-UPSAY
collection:UNIV-PARIS-SACLAY
collection:JOLIOT
collection:CEA-DRF
collection:NEUROSPIN
collection:UNIVERSITE-PARIS-SACLAY
collection:GS-COMPUTER-SCIENCE
collection:GS-LIFE-SCIENCES-HEALTH
Weitere Informationen
Motivation: Non-Cartesian imaging remains complicated to use for MRI due to the high computational cost of the Non-Uniform Fourier Transformfor image reconstruction.Goal(s): To provide a uniform interface for reconstructing magnetic resonance images from non-Cartesian k-space data and a collection of nonCartesian sampling trajectoriesApproach: We propose an open-source Python package (https://github.com/mind-inria/mri-nufft/) providing a standard interface to existing NUFFTlibraries, with extended models for multi-coil imaging and static-field (B0) inhomogeneities correction.Results: MRI-NUFFT can generate sampling trajectories, compliant with hardware constraints, as well as simple forward/adjoint operations anddensity compensation for use in advanced image reconstruction scenarios.Impact: With MRI-NUFFT, non-Cartesian MRI trajectories and reconstruction algorithms become accessible, effcient, and affordable to everyone forresearch and education purposes.