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.

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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
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article

Short-term gradient imperfections in high resolution EPI leads to a Fuzzy Ripple artifact

Zenodo (CERN European Organization for Nuclear Research)
Soil Management and Crop Yield
article

Short-term gradient imperfections in high resolution EPI leads to a Fuzzy Ripple artifact

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
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)
Openalex Percentile: Top 47%
Soil Management and Crop Yield
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