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Updated: Sep 28, 2025
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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
Published on: May 10, 2012
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Advances in spiral fMRI: A high-resolution dataset
Lars Kasper1,2, Maria Engel1, Jakob Heinzle2
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Gloriastrasse 35, Zurich 8092, Switzerland.
Data in Brief
|April 4, 2022
Summary
This study provides data for high-resolution spiral functional MRI (fMRI) using a 7T system. The data includes magnetic field dynamics and reconstructed images to advance fMRI analysis and correction methods.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Neuroimaging
- Biophysics
Background:
- Ultra-high field (UHF) MRI, particularly at 7 Tesla, offers enhanced signal-to-noise ratio for functional MRI (fMRI).
- Spiral imaging trajectories in fMRI can achieve faster acquisition speeds, enabling higher resolution or improved temporal sampling.
- Accurate characterization of magnetic field dynamics is crucial for correcting artifacts and improving image quality in UHF fMRI.
Purpose of the Study:
- To present a comprehensive dataset supporting the research article "Advances in Spiral fMRI: A High-resolution Study with Single-shot Acquisition".
- To provide raw and processed data for investigating magnetic field fluctuations and their impact on UHF spiral fMRI.
- To enable the testing of novel image reconstruction and analysis methods for high-resolution fMRI.
Main Methods:
- Data acquired on a 7T Philips Achieva MR system with concurrent magnetic field monitoring using 16 NMR probes.
- Task-based fMRI employed a visual quarterfield stimulation paradigm with peripheral physiological monitoring.
- Datasets include measured magnetic field dynamics, raw MR data (coil, field encoding, gradient waveforms), and reconstructed image time series.
Main Results:
- Collected data encompasses magnetic field dynamics (k0, spiral trajectories, spherical harmonics, concomitant fields) and gradient coil temperature curves from six subjects.
- MR raw data from a single subject includes coil data, magnetic field encoding trajectories, and precomputed B0 and coil sensitivity maps.
- Reconstructed image time series, behavioral, and physiological logs are provided for reproducibility of fMRI analysis.
Conclusions:
- The dataset facilitates the exploration of MR system and subject-induced magnetic field variability in UHF fMRI.
- It enables assessment of potential correction methods for field fluctuations in spiral fMRI.
- Standardized data formats (ISMRMRD, NIfTI) ensure broad accessibility for advancing spiral fMRI reconstruction and analysis techniques.
