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Diffusion tensor imaging using single-shot SENSE-EPI.

Roland Bammer1, Martin Auer, Stephen L Keeling

  • 1Department of Radiology, Lucas MRS/I Center, Stanford University, Stanford, California 94305-5488, USA. roland@s-world.stanford.edu

Magnetic Resonance in Medicine
|July 12, 2002
PubMed
Summary
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Sensitivity Encoding (SENSE) successfully combined with Diffusion Tensor Imaging (DTI) to improve image quality. This SENSE-DTI approach enhances spatial resolution and reduces distortions in neuroimaging without increasing scan time.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Neuroimaging
  • Diffusion Tensor Imaging (DTI)

Background:

  • SENSitivity Encoding (SENSE) significantly improves diffusion-weighted echo-planar imaging (EPI) by minimizing blurring and off-resonance artifacts.
  • Diffusion Tensor Imaging (DTI) measures are highly sensitive to image distortions, limiting its application.
  • The feasibility of combining SENSE with DTI has not been previously investigated.

Purpose of the Study:

  • To explore the feasibility and benefits of integrating SENSE with DTI.
  • To assess the impact of SENSE on DTI image quality, specifically geometric distortions and spatial resolution.
  • To evaluate a novel coil-sensitivity estimation technique for SENSE reconstruction stability.

Main Methods:

  • Diffusion Tensor Imaging (DTI) scans were performed on eight healthy volunteers using a SENSE-reduction factor of 2.

Related Experiment Videos

  • Acquisitions were conducted with both regular and high-resolution matrices.
  • A new variational calculus and matrix regularization-based coil-sensitivity estimation technique was implemented to enhance SENSE reconstruction stability.

    • Main Results:

    • SENSE-DTI demonstrated improved spatial resolution and reduced geometric distortions in maps of the diffusion tensor trace and fractional anisotropy (FA).
    • Substantial removal of geometric distortions and significant resolution enhancement were achieved with comparable scan times to regular EPI.
    • Diffusion Tensor Imaging (DTI) was feasible even without quadrature body coil (QBC) reference scans.

    Conclusions:

    • SENSE can be effectively combined with Diffusion Tensor Imaging (DTI), offering significant improvements in image quality.
    • This SENSE-DTI technique may serve as a valuable tool for future neuroimaging applications.
    • The study highlights the potential of SENSE to overcome limitations associated with DTI distortions.