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High-resolution diffusion imaging using phase-corrected segmented echo-planar imaging

S Brockstedt1, J R Moore, C Thomsen

  • 1Department of Diagnostic Radiology, Lund University Hospital, Sweden. Sara.Brockstedt@drad.lu.se

Insights

This study introduces a new diffusion MRI technique using segmented echo-planar imaging and navigator echo phase corrections. This method significantly reduces motion and susceptibility artifacts, improving image quality for apparent diffusion coefficient mapping.

Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Biophysics

Background:

  • Diffusion magnetic resonance imaging (dMRI) is crucial for assessing tissue microstructure.
  • Susceptibility and motion artifacts commonly degrade dMRI quality, particularly with echo-planar imaging (EPI).
  • Reducing these artifacts is essential for accurate quantitative analysis, such as apparent diffusion coefficient (ADC) mapping.

Purpose of the Study:

  • To develop and evaluate a high-resolution segmented EPI technique for dMRI.
  • To minimize susceptibility artifacts compared to single-shot EPI.
  • To implement navigator echo phase corrections for reducing motion artifacts in multishot dMRI sequences.

Main Methods:

  • High-resolution segmented echo-planar imaging (EPI) was employed.
  • Navigator echo phase corrections were applied after 1D Fourier transform.
  • Navigator echo phases were linearly fitted to correct for internal motion.
  • In vivo imaging utilized electrocardiographic (ECG) triggering.
  • Apparent diffusion coefficient (ADC) maps were calculated using multiple b-values (0-1129 x 10^6 s/m^2).

Main Results:

  • The segmented EPI technique yielded images with substantially fewer susceptibility artifacts than single-shot EPI.
  • Navigator echo phase corrections effectively reduced motion artifacts inherent in multishot sequences.
  • The method allowed for robust pixel-by-pixel calculation of ADC maps.

Conclusions:

  • The proposed high-resolution segmented EPI technique with navigator echo phase correction is effective in reducing artifacts in diffusion MRI.
  • This advancement improves image quality and reliability for quantitative ADC mapping.
  • The technique holds promise for enhanced diagnostic capabilities in various clinical applications.

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