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Diffusion tensor MRI of the spinal cord
1Résonance Magnetique des Systemes Biologiques, UMR 5536, CNRS/Université Bordeaux2, Bordeaux, France.
Magnetic Resonance in Medicine
|December 7, 2000
Summary
Apparent diffusion tensor (ADT) measurements using pulsed-field-gradient (PFG) echo-planar imaging (EPI) reveal significant spinal cord anisotropy. This technique robustly detects diffusion changes, even when conventional imaging fails.
Area of Science:
- Neuroimaging
- Biophysics
- Medical Physics
Background:
- Diffusion tensor imaging (DTI) is crucial for assessing white matter integrity.
- Spinal cord DTI presents unique challenges due to motion and anatomical complexity.
- Pulsed-field-gradient (PFG) techniques offer advanced diffusion measurements.
Purpose of the Study:
- To present apparent diffusion tensor (ADT) measurements of the spinal cord using a PFG multi-shot EPI sequence.
- To compare rotationally invariant anisotropy information with rotationally dependent methods.
- To evaluate the clinical applicability of ADT measurements in spinal pathologies.
Main Methods:
- Utilized a pulsed-field-gradient (PFG) multi-shot echo-planar imaging (EPI) sequence for spinal cord ADT measurements.
- Studied 10 healthy volunteers to characterize normal diffusion properties.
- Investigated 10 patients with cervical canal stenosis to assess diffusion changes in pathology.
Main Results:
- Demonstrated significantly higher water diffusivity parallel (approx. 2.5x) to spinal cord fibers compared to perpendicular directions.
- Observed cylindrically symmetric anisotropy characteristics in the spinal cord.
- Determined that a resolution of 1 mm in read and phase directions is necessary for unbiased ADT values.
- Showed that ADT changes in cervical canal stenosis were detectable even when conventional T1/T2 weighted imaging showed no lesion.
Conclusions:
- Spinal cord diffusion exhibits pronounced anisotropy, measurable with PFG-EPI ADT.
- High-resolution ADT imaging can robustly detect subtle spinal cord pathologies.
- This technique holds promise for improved clinical diagnosis of spinal cord diseases.