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Gradient-echo EPI using a high-degree shim insert coil at 7 T: Implications for BOLD fMRI
Tae Kim1,2, Yoojin Lee1, Tiejun Zhao3
1Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Magnetic Resonance in Medicine
|December 3, 2016
Summary
Higher-order B0 shimming at 7T improves BOLD signal and activated pixels in gradient-echo EPI, enhancing brain imaging quality. This advanced technique optimizes magnetic field homogeneity for more accurate functional MRI studies.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Neuroimaging
- Biophysics
Background:
- High-field MRI at 7 Tesla (T) offers enhanced sensitivity but faces challenges with B0 inhomogeneity.
- Gradient-echo echo-planar imaging (GE-EPI) is susceptible to B0 field distortions, impacting Blood-Oxygen-Level-Dependent (BOLD) signal.
- Optimizing B0 shimming is crucial for improving image quality and quantitative analysis in fMRI.
Purpose of the Study:
- To quantitatively compare the effects of 1st-4th+ degree B0 shimming versus 1st-2nd degree shimming.
- To assess the impact on GE-EPI and BOLD activation at 7T.
- To evaluate improvements in temporal signal-to-noise ratio (tSNR), R2*, BOLD signal change, and activated pixel counts.
Main Methods:
- Simulations and GE-EPI acquisitions were performed at 2mm³ and 3mm³ resolutions.
- B0 maps were generated for 1st-2nd degree and 1st-4th+ degree shimming.
- Analysis focused on BOLD signal change and activated pixel counts during a breath-hold task.
Main Results:
- Higher-order shimming (1st-4th+) improved B0 homogeneity in most brain regions, particularly the inferior frontal lobe.
- Positive B0 offset regions showed significant increases in BOLD sensitivity (+5-29% activated pixels).
- Negative B0 offset regions exhibited decreased BOLD sensitivity (-18% to 0% activated pixels).
Conclusions:
- 1st-4th+ degree B0 shimming effectively maintains B0 homogeneity in central brain regions at 7T.
- Advanced shimming strategies enhance BOLD signal detection and activated pixel counts in specific brain areas.
- This technique holds promise for improving quantitative fMRI analysis and neuroscientific research.

