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NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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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Correction for susceptibility-induced distortion in echo-planar imaging using field maps and model-based point spread

Yung-Chin Hsu1, Ching-Han Hsu, Wen-Yih Isaac Tseng

  • 1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsin-Chu 300, Taiwan. eric.ychsu@gmail.com

IEEE Transactions on Medical Imaging
|July 17, 2009
PubMed
Summary
This summary is machine-generated.

Susceptibility-induced distortion in echo-planar imaging (EPI) can be corrected using a novel model-based point spread function (PSF) method. This approach offers superior geometric and signal correction compared to existing techniques, proving more clinically feasible.

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Magnetic Resonance Imaging

Background:

  • Susceptibility-induced distortion is a significant artifact in echo-planar imaging (EPI).
  • Existing correction methods like Fourier and point spread function (PSF) have limitations.
  • A unified framework is needed to understand and improve distortion correction.

Purpose of the Study:

  • To present a unified framework for EPI distortion correction methods.
  • To propose and evaluate a novel model-based PSF method for distortion correction.
  • To compare the proposed method with existing techniques in terms of accuracy and clinical feasibility.

Main Methods:

  • Developed a unified framework for EPI distortion correction.
  • Proposed a model-based PSF method utilizing source object PSF modeling and a single field map.
  • Acquired EPI images of a phantom and a human subject for comparison.

Main Results:

  • The model-based PSF method effectively corrected geometric and signal intensity distortions.
  • The proposed method avoided the rippling artifacts observed with the Fourier method.
  • Compared to Fourier and linear interpolation methods, the model-based PSF method demonstrated superior performance.

Conclusions:

  • The unified framework provides insight into various EPI distortion correction mechanisms.
  • The model-based PSF method offers satisfactory distortion correction with fewer reference scans and reduced computational load.
  • The model-based PSF method is a clinically feasible alternative for correcting EPI artifacts.