Treffer: MRI-NUFFT: An open source Python package to make non-Cartesian MR Imaging easier

Title:
MRI-NUFFT: An open source Python package to make non-Cartesian MR Imaging easier
Contributors:
Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Institut des Sciences du Vivant Frédéric JOLIOT (JOLIOT), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Chipiron, Paris, France, Modèles et inférence pour les données de Neuroimagerie (MIND), IFR49 - Neurospin - CEA, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre Inria de l'Université Paris-Saclay, Centre Inria de Saclay, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre Inria de Saclay, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ISMRM
Publisher Information:
CCSD, 2025.
Publication Year:
2025
Collection:
collection:CEA
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
Subject Geographic:
Original Identifier:
HAL: hal-05373299
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.58530/2024/4675
DOI:
10.58530/2024/4675
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.05373299v1
Database:
HAL

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.