Short-term gradient imperfections in high resolution EPI leads to a Fuzzy Ripple artifact
Purpose: High resolution fMRI is a rapidly growing research field focused on capturing functional signal changes across cortical layers. However, the data acquisition is limited by low spatial frequency EPI artifacts; termed here as Fuzzy Ripples. These artifacts limit the practical applicability of acquisition protocols with higher spatial resolution, faster acquisition speed, and they challenge imaging in lower brain areas. Methods: We characterize Fuzzy Ripple artifacts across commonly used sequences and distinguish them from conventional EPI Nyquist ghosts and off-resonance effects. To investigate their origin, we employ dual polarity readouts.Results: Our findings indicate that Fuzzy Ripples are primarily caused by readout-specific imperfections in k-space trajectories, which can be exacerbated by short term eddy current, and by inductive coupling between third-order shims and readout gradients. We also find that these artifacts can be mitigated through complex-valued averaging of dual polarity EPI or by disconnecting the third-order shim coils. Conclusion: The proposed mitigation strategies allow overcoming current limitations in layerfMRI protocols: (1) Achieving resolutions beyond 0.8mm is feasible, and even at 3T, we achieved 0.53mm voxel functional connectivity mapping. (2) Sub-millimeter sampling acceleration can be increased to allow sub-second TRs and laminar whole brain protocols with up to GRAPPA 8. (3) Sub-millimeter fMRI is achievable in lower brain areas, including the cerebellum.
Institutions
- Centre National de la Recherche Scientifique (FR)
- National Institutes of Health (US)
- Aarhus University (DK)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Université Paris-Saclay (FR)
- German Center for Neurodegenerative Diseases (DE)
- Maastricht University (NL)
- Advanced MRI Technologies (United States) (US)
- Sino-Danish Centre for Education and Research (CN)
- CEA Paris-Saclay (FR)
- Brain Innovation (Netherlands) (NL)
- University of California, Berkeley (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-03
- DOI
- https://doi.org/10.5281/zenodo.15129868
- Primary Topic
- Soil Management and Crop Yield
- Type
- article
- Field-Weighted Citation Impact
- 0.00