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Related Experiment Videos

Brain morphometry with multiecho MPRAGE.

André J W van der Kouwe1, Thomas Benner1, David H Salat1

  • 1Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA 02129, USA.

Neuroimage
|February 5, 2008
PubMed
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Multiecho MPRAGE (MEMPR) MRI scans improve brain morphometry by reducing image distortions and enabling accurate cortical thickness measurement, outperforming standard MPRAGE for analysis.

Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging (MRI)
  • Brain Morphometry

Background:

  • Multispectral MRI studies require precise structural alignment across contrasts.
  • Standard MPRAGE and multiecho FLASH sequences have complementary strengths for brain segmentation.
  • Image distortions can hinder accurate morphometric analysis.

Purpose of the Study:

  • To evaluate a multiecho MPRAGE (MEMPR) sequence for brain morphometry.
  • To assess MEMPR's performance with SIENA and FreeSurfer compared to standard MPRAGE.
  • To investigate MEMPR's utility for correcting cortical thickness measurements affected by adjacent dura.

Main Methods:

  • Acquisition and evaluation of MEMPR scans.
  • Application of SIENA for brain volume change analysis.

Related Experiment Videos

  • Utilisation of FreeSurfer for cortical modeling and thickness estimation.
  • Development of a T2*-based algorithm for cortical thickness correction.

    • Main Results:

    • MEMPR exhibits reduced distortions, comparable to multiecho FLASH.
    • MEMPR enhances the reliability of SIENA-derived percentage brain volume changes.
    • MEMPR improves the accuracy of FreeSurfer cortical models and thickness estimation, particularly in dura-affected regions.
    • MEMPR did not significantly enhance subcortical segmentation.

    Conclusions:

    • MEMPR is recommended for morphometry studies due to improved distortion properties and T2* information without increasing acquisition time.
    • MEMPR offers advantages over standard MPRAGE for cortical morphometry analysis.