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Simultaneous fMRI and Electrophysiology in the Rodent Brain
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Frequency stabilization using infinite impulse response filtering for SSFP fMRI at 3T.

Ming-Long Wu1, Pei-Hsin Wu, Teng-Yi Huang

  • 1Department of Electrical Engineering, National Taiwan University of Science and Technology, and Department of Radiology, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan, Republic of China.

Magnetic Resonance in Medicine
|January 30, 2007
PubMed
Summary

This study introduces a frequency stabilization technique for steady-state free precession functional MRI (fMRI). The method effectively reduces magnetic field drifts, improving the reliability and contrast of fMRI images, especially at high field strengths.

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Area of Science:

  • Magnetic Resonance Imaging
  • Functional Magnetic Resonance Imaging
  • Biophysics

Background:

  • Steady-state free precession (SSFP) is a promising technique for distortion-free functional MRI (fMRI).
  • SSFP fMRI is challenged by a narrow frequency band for optimal sensitivity, leading to contrast loss due to magnetic field drifts.
  • Magnetic field instability significantly impacts the reliability of SSFP fMRI data.

Purpose of the Study:

  • To develop and evaluate a frequency stabilization scheme for SSFP fMRI.
  • To mitigate the negative effects of magnetic field drifts on SSFP fMRI sensitivity and contrast.
  • To enhance the reliability and robustness of SSFP fMRI, particularly at high field strengths.

Main Methods:

  • Implementation of a frequency stabilization scheme involving pre-scan RF pulses to estimate initial FID signal phase.
  • Utilizing an infinite impulse response (IIR) filter to derive a low-pass-filtered estimate of the central reference frequency.
  • Experimental validation using phantom studies and visual fMRI at submillimeter in-plane resolution.

Main Results:

  • The proposed scheme successfully stabilized frequency settings, reducing oscillation amplitudes to below 0.5 Hz.
  • Phantom studies demonstrated significant reduction in both slow drifts and fast fluctuations, with signal variations under 5%.
  • Visual fMRI revealed enhanced activation signals (~15%) registered in microvessels within sulci.

Conclusions:

  • The IIR-filtered frequency stabilization technique is effective in managing magnetic field drifts in SSFP fMRI.
  • This method significantly improves the reliability and signal quality of SSFP fMRI data.
  • The technique holds potential for achieving high-quality SSFP fMRI at high field strengths.