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NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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Simultaneous multislice EPI prospective motion correction by real-time receiver phase correction and coil sensitivity

Bo Li1, Ningzhi Li2, Ze Wang1

  • 1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland, USA.

Magnetic Resonance in Medicine
|July 14, 2023
PubMed
Summary

Prospective motion correction (PMC) in simultaneous multislice (SMS) echo-planar imaging (EPI) of the brain can be improved by dynamically adjusting receiver phase and resampling coil sensitivities. This reduces motion artifacts in brain scans, enhancing image quality for better clinical insights.

Keywords:
SMS-EPIcoil sensitivity interpolationmotion artifactsprospective motion correctionreal-time phase correction

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Neuroimaging
  • Image Reconstruction

Background:

  • Simultaneous multislice (SMS) echo-planar imaging (EPI) is crucial for brain imaging.
  • Prospective motion correction (PMC) is essential for mitigating motion artifacts in EPI.
  • Existing PMC methods may not fully address artifacts in SMS EPI reconstruction.

Purpose of the Study:

  • To enhance image reconstruction for PMC in brain SMS EPI.
  • To evaluate the effectiveness of updating receiver phase and resampling coil sensitivities.

Main Methods:

  • A camera-based system tracked head motion (3 translations, 3 rotations).
  • Dynamic updates of scan position and orientation were performed.
  • Receiver phase shifts and resampled coil sensitivity profiles were applied during SMS reconstruction.

Main Results:

  • Artifacts in brain SMS EPI scans with PMC were reduced by proposed corrections.
  • Correcting coil sensitivity maps improved temporal SNR (tSNR) by 24% for large movements.
  • Receiver phase correction boosted tSNR by 50% in a low-motion scan.

Conclusions:

  • Dynamically adjusting receiver phase and coil sensitivity profiles minimizes motion artifacts in SMS EPI.
  • This method is valuable for improving SMS EPI scans with subject motion.