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A retrospective physiological noise correction method for oscillating steady-state imaging.

Amos A Cao1, Douglas C Noll1

  • 1Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.

Magnetic Resonance in Medicine
|August 28, 2020
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Summary

This study introduces novel denoising methods, OSSCOR and F-OSSCOR, for functional MRI (fMRI) using Oscillating Steady-State Imaging (OSSI). These techniques effectively reduce physiological noise, enhancing fMRI experiment results.

Keywords:
OSSIfMRIphysiological noiseretrospective correctionsteady-state imaging

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Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Oscillating Steady-State Imaging (OSSI) is an SNR-efficient sequence for fMRI.
  • Frequency sensitivity in OSSI signals can lead to fluctuations from physiological noise (respiration, drift).

Purpose of the Study:

  • Develop retrospective signal correction methods for task-based OSSI fMRI.
  • Denoise OSSI fMRI experiments by leveraging OSSI signal properties.

Main Methods:

  • Developed two retrospective denoising methods: OSSCOR (voxel timecourses) and F-OSSCOR (FID timecourses).
  • Methods do not require manually specified noise regions of interest.
  • Compared performance against standard principal component analysis (PCA) using in vivo experiments at 3T.

Main Results:

  • OSSCOR significantly outperformed the standard PCA method across all evaluated metrics (mean t score, activation count, temporal SNR).
  • F-OSSCOR showed comparable results to the standard method with an equal number of principal components.
  • Increasing principal components in OSSCOR reduced activation and increased false positives; in F-OSSCOR, it increased activation with minimal false positives.

Conclusions:

  • Both OSSCOR and F-OSSCOR effectively reduce physiological noise and improve temporal SNR in OSSI fMRI.
  • These methods enhance functional results in task-based OSSI fMRI experiments.
  • F-OSSCOR demonstrates the potential of using coil-localized FID signal for noise correction.