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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Intercenter differences in diffusion tensor MRI acquisition.

Elisabetta Pagani1, Jochen G Hirsch, Petra J W Pouwels

  • 1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute and University Hospital San Raffaele, 20132 Milan, Italy.

Journal of Magnetic Resonance Imaging : JMRI
|June 1, 2010
PubMed
Summary
This summary is machine-generated.

Acquisition center significantly impacts diffusion tensor magnetic resonance imaging (DT-MRI) data variability. Statistical models and segmentation methods are crucial for differentiating patients from controls using DT-derived metrics.

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Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Radiology

Background:

  • Diffusion tensor magnetic resonance imaging (DT-MRI) is a powerful tool for assessing white matter integrity.
  • Standardized acquisition protocols are essential for reliable DT-MRI data.
  • Variability in DT-MRI data can arise from scanner differences and acquisition centers.

Purpose of the Study:

  • To evaluate the impact of different MRI scanners on diffusion tensor (DT) magnetic resonance imaging (MRI) data.
  • To determine the influence of acquisition center on DT-MRI metrics.
  • To assess the variability of fractional anisotropy (FA), axial diffusivity (D(ax)), radial diffusivity (D(rad)), and mean diffusivity (MD) across different scanners.

Main Methods:

  • Forty-four healthy controls and 36 multiple sclerosis patients underwent DT-MRI on eight different MR scanners.
  • Acquisition protocols were standardized as closely as possible across all scanners.
  • Region-of-interest (ROI) and histogram-based analyses were performed on FA, D(ax), D(rad), and MD.
  • Analysis of variance (ANOVA) was used to determine the influence of acquisition center and patient/control group.

Main Results:

  • The patient/control group explained approximately 25% of data variability for FA and D(rad) in the corpus callosum (CC).
  • Global FA, MD, and D(rad) in white matter differentiated patients from controls, but with lower discriminatory power than CC.
  • In gray matter, MD discriminated patients from controls, with 30% variability explained by group versus 17% by center.

Conclusions:

  • Significant variability in DT-MRI data is attributable to the acquisition center, even with standardized protocols.
  • Appropriate segmentation methods and statistical models are necessary for reliable DT-derived metrics.
  • DT-MRI metrics can effectively differentiate patients from healthy controls when accounting for data variability.