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Related Experiment Videos

Diffusion measurements in the ischemic human brain with a steady-state sequence

R Brüning1, R H Wu, M Deimling

  • 1Institute of Diagnostic Radiology, University of Munich, Germany.

Investigative Radiology
|November 1, 1996
PubMed
Summary

Diffusion-weighted steady-state free-precession (SSFP) MRI is more sensitive for detecting acute ischemic changes and delineates subacute lesions effectively compared to T2-weighted imaging.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Neurology

Background:

  • Acute and subacute ischemic changes require sensitive detection methods for timely intervention.
  • Traditional T2-weighted imaging has limitations in early ischemic lesion detection.
  • Diffusion-weighted imaging (DWI) offers potential for improved sensitivity in stroke diagnosis.

Purpose of the Study:

  • To evaluate the clinical utility of a diffusion-weighted steady-state free-precession (SSFP) sequence.
  • To assess the sensitivity of DWI-SSFP for detecting acute and subacute ischemic changes.
  • To compare the performance of DWI-SSFP with conventional T2-weighted imaging.

Main Methods:

  • Twenty-four patients with suspected ischemic changes were scanned using a 1.5-tesla MRI scanner.

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  • A diffusion-weighted SSFP sequence (TR/TE = 22/3-8 ms) was employed with varying b-values.
  • Diffusion-weighted images were compared against T2-weighted images for lesion detection and characterization.

    • Main Results:

    • The DWI-SSFP sequence yielded diagnostic quality images in 23 out of 24 patients.
    • DWI-SSFP identified more acute lesions (3/6) than T2-weighted images (2/6) within the first 12 hours.
    • Significant correlation was observed for subacute lesions between DWI-SSFP and turbo spin echo (TSE) T2-weighted imaging.

    Conclusions:

    • Diffusion-weighted SSFP sequences demonstrate superior sensitivity for acute ischemia detection.
    • DWI-SSFP provides comparable or improved delineation of subacute ischemic lesions versus T2-weighted imaging.
    • This technique shows promise for enhancing the diagnostic accuracy of ischemic stroke detection.