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Related Experiment Videos

Improved diffusion-weighted single-shot echo-planar imaging (EPI) in stroke using sensitivity encoding (SENSE).

R Bammer1, S L Keeling, M Augustin

  • 1Magnetic Resonance Institute, Karl-Franzens University, Graz, Austria. roland@s-world.stanford.edu

Magnetic Resonance in Medicine
|September 11, 2001
PubMed
Summary

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Diffusion-weighted SENSitivity Encoding (SENSE)-sshEPI significantly improves stroke imaging quality by reducing artifacts. This technique is technically feasible and clinically applicable for diagnosing subacute stroke patients.

Area of Science:

  • Radiology
  • Medical Imaging
  • Neuroimaging

Background:

  • Diffusion-weighted single-shot EPI (sshEPI) is crucial for stroke diagnosis but prone to artifacts.
  • SENSitivity Encoding (SENSE) is a technique to accelerate MRI acquisition.
  • Combining SENSE with sshEPI aims to enhance image quality and diagnostic utility in stroke imaging.

Purpose of the Study:

  • To evaluate the technical feasibility and clinical applicability of diffusion-weighted SENSE-sshEPI in stroke patients.
  • To assess the artifact reduction and image quality improvement offered by SENSE-sshEPI compared to conventional sshEPI.
  • To investigate the impact of different SENSE reduction factors on image quality and diffusion measurements.

Main Methods:

  • Diffusion-weighted SENSE-sshEPI was performed on 8 healthy volunteers and 8 patients with suspected stroke.

Related Experiment Videos

  • Various SENSE reduction factors (1.0 ≤ R ≤ 3.0) were used.
  • High-resolution diffusion-weighted SENSE-sshEPI scans were also acquired.

    • Main Results:

    • All SENSE-sshEPI examinations were diagnostic and showed improved quality over conventional sshEPI.
    • Ghosting and aliasing artifacts were absent; EPI-related distortions were markedly reduced.
    • While chemical shift and eddy current artifacts persisted, their extent was smaller; diffusion values showed less fluctuation.

    Conclusions:

    • Diffusion-weighted SENSE-sshEPI is technically feasible and clinically applicable for subacute stroke imaging.
    • The technique effectively reduces common EPI artifacts and improves spatial resolution.
    • SENSE-sshEPI offers increased robustness against bulk motion due to faster k-space traversal.