Enhanced delineation of white matter structures of the fixed mouse brain using Gd-DTPA in microscopic MRI

Sungheon Kim1, Stephen Pickup, Oliver Hsu

  • 1Department of Radiology, University of Pennsylvania, Philadelphia, USA. Sungheon.Kim@nyumc.org

NMR in Biomedicine
|November 29, 2008
PubMed

Insights

Gadolinium (III) diethyltriaminepenta-acetic acid (Gd-DTPA) enhances microMRI contrast in mouse brains. This method achieves high-resolution images with excellent contrast-to-noise ratios, aiding neurological disorder research.

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Materials Science

Background:

  • Microscopic MRI (microMRI) is crucial for detailed brain analysis.
  • Enhancing contrast between white and gray matter is key for accurate interpretation.
  • Gadolinium-based contrast agents are widely used in MRI.

Purpose of the Study:

  • To investigate the efficacy of Gd-DTPA mixed with fixatives for improving white and gray matter contrast in perfusion-fixed mouse brains.
  • To determine optimal Gd-DTPA concentration and fixation time for maximizing contrast-to-noise ratio (CNR).
  • To achieve high-resolution microMRI with short scan times.

Main Methods:

  • Microscopic MRI (microMRI) studies were conducted on perfusion-fixed mouse brains.
  • Various concentrations of Gd-DTPA were tested in conjunction with a fixative.
  • A 3D gradient-echo pulse sequence was employed to acquire images.
  • Image analysis focused on contrast-to-noise ratio (CNR) between white and gray matter.

Main Results:

  • Optimal contrast was achieved by soaking specimens in 10 mM Gd-DTPA for 4 days.
  • High-resolution (39 microm isotropic) images with CNR ~50 were acquired in under 2 hours.
  • microMRI results showed excellent correlation with histology (Kluver-Barrera stain).

Conclusions:

  • The proposed microMRI method significantly enhances white and gray matter contrast in mouse brains.
  • This technique allows for high-resolution imaging with efficient scan times.
  • Enhanced contrast facilitates microMRI-based morphological phenotyping for neurological disorder models.

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