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

November 2024 Pierre-Antoine Comby, Guillaume Daval-Frerot, Chaithya Giliyar Radhakrishna, et al. 2025 ISMRM & ISMRT Annual Meeting & Exhibition · Conference abstract
#Non-Cartesian Sampling #k-space Sampling #Field Inhomogeneity #Open-Source Software #MRI #non-Cartesian MRI

Abstract

Motivation: Non-Cartesian imaging remains complicated to use for MRI due to the high computational cost of the Non-Uniform Fourier Transform for image reconstruction. Goal(s): To provide a uniform interface for reconstructing magnetic resonance images from non-Cartesian k-space data and a collection of non-Cartesian sampling trajectories Approach: We propose an open-source Python package (https://github. com/mind-inria/mri-nufft/) providing a standard interface to existing NUFFT libraries, 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 and density compensation for use in advanced image reconstruction scenarios. Impact: With MRI-NUFFT, non-Cartesian MRI trajectories and reconstruction algorithms become accessible, efficient, and affordable to everyone for research and education purposes.

Details

  • Type of work: Conference abstract
  • Venue: 2025 ISMRM & ISMRT Annual Meeting & Exhibition
  • Published: 26 November 2024
  • DOI: 10.58530/2024/4675
  • Authors: Pierre-Antoine Comby, Guillaume Daval-Frerot, Chaithya Giliyar Radhakrishna, Alexandre Vignaud, and Philippe Ciuciu
  • Cited by: 3 times (OpenAlex)
  • Data sources: ref.bib, OpenAlex

BibTeX

@inproceedings{comby2025mri,
  title={MRI-NUFFT: An open source Python package to make non-Cartesian MR Imaging easier},
  author={Comby, Pierre-Antoine and Daval-Frerot, Guillaume and Gr, Chaithya and Vignaud, Alexandre and Ciuciu, Philippe},
  booktitle={2025 ISMRM \& ISMRT Annual Meeting \& Exhibition},
  year={2025}
}