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Improved dynamic distortion correction for fMRI using single-echo EPI and a readout-reversed first image (REFILL).

Simon Daniel Robinson1,2,3,4, Beata Bachrata3,4,5, Korbinian Eckstein3

  • 1Centre of Advanced Imaging, University of Queensland, Brisbane, Australia.

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We developed a new dynamic distortion correction method for functional MRI (fMRI) called REFILL. This approach improves signal-to-noise ratio and removes artifacts, making real-time correction feasible for routine use.

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Area of Science:

  • Magnetic Resonance Imaging
  • Neuroimaging
  • Biophysics

Background:

  • Magnetic field inhomogeneities in MRI scanners, caused by tissue susceptibility differences, fluctuate due to physiological motion and system instabilities.
  • These dynamic field changes introduce distortions in fMRI data, complicating analysis.
  • Existing correction methods often require complex, time-consuming, or error-prone techniques like multi-echo scans or phase unwrapping.

Purpose of the Study:

  • To introduce and validate a novel dynamic distortion correction method for fMRI that is robust, efficient, and suitable for real-time implementation.
  • To improve the accuracy and reliability of fMRI data by mitigating motion and respiration-induced field fluctuations.

Main Methods:

  • The proposed method, Reverse-Encoded First Image and Low resoLution reference scan (REFILL), utilizes single-echo EPI data and a short (3-10s) triple-echo reference scan.
  • It calculates phase offsets without phase unwrapping and incorporates a correction from a reversed-readout EPI volume.
  • The approach is designed for computational simplicity and robustness, enabling on-scanner processing.

Main Results:

  • REFILL accurately measures dynamic B0 field changes caused by shim variations, motion, and respiration, even at 7T.
  • It achieved a >20% increase in time-series signal-to-noise ratio compared to static correction methods.
  • fMRI data processed with REFILL were free from stimulus-correlated distortion artifacts observed with static field mapping.

Conclusions:

  • REFILL offers a significant advancement in dynamic distortion correction for fMRI, overcoming limitations of previous methods.
  • Its robustness, speed, and accuracy make routine dynamic distortion correction in fMRI feasible.
  • The method enhances data quality and reliability, particularly in challenging imaging conditions like high field strengths (7T).