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Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
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High resolution diffusion-weighted imaging using readout-segmented echo-planar imaging, parallel imaging and a

David A Porter1, Robin M Heidemann

  • 1Siemens AG, Healthcare Sector, Erlangen, Germany. david.a.porter@siemens.com

Magnetic Resonance in Medicine
|May 19, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new MRI technique combining segmented EPI and parallel imaging to improve diffusion-weighted imaging. It significantly reduces artifacts and enhances resolution at 1.5T and 3T for clinical applications.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Radiology

Background:

  • Single-shot echo-planar imaging (EPI) is standard for diffusion-weighted MRI due to motion insensitivity.
  • However, EPI suffers from susceptibility artifacts and limited spatial resolution, especially at higher field strengths like 3 Tesla (T).
  • Parallel imaging, such as GRAPPA, has limitations at higher field strengths.

Purpose of the Study:

  • To develop and evaluate a novel MRI technique combining readout-segmented EPI and parallel imaging.
  • To address susceptibility artifacts and improve spatial resolution in diffusion-weighted imaging at 1.5T and 3T.
  • To achieve robust motion correction and clinically feasible scan times.

Main Methods:

  • Utilized readout-segmented EPI combined with parallel imaging techniques.
  • Incorporated a 2D navigator acquisition for nonlinear phase correction.
  • Implemented real-time reacquisition of uncorrectable data.
  • Performed measurements on healthy volunteers at 1.5T and 3T.

Main Results:

  • Generated high-resolution, diffusion-weighted images.
  • Achieved significant reduction in susceptibility artifacts compared to single-shot EPI.
  • Demonstrated robust correction for motion-induced phase artifacts.
  • Confirmed clinically suitable scan times.

Conclusions:

  • The combination of readout-segmented EPI and parallel imaging offers improved diffusion-weighted imaging.
  • This technique effectively reduces susceptibility artifacts and enhances image resolution at 1.5T and 3T.
  • The method provides robust motion correction, making it suitable for routine clinical use.