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Prospective motion correction of segmented diffusion weighted EPI.

Michael Herbst1,2, Benjamin Zahneisen2, Benjamin Knowles1

  • 1Department of Radiology, Medical Physics, University Medical Center Freiburg, Germany.

Magnetic Resonance in Medicine
|December 3, 2014
PubMed
Summary
This summary is machine-generated.

Prospective motion correction combined with multiplexed sensitivity encoding improves diffusion weighted imaging quality. This technique enhances high-resolution imaging, even with significant head motion during scans.

Keywords:
diffusionmultiplexed sensitivity encodingprospective motion correctionreal-timesegmented echo planar imaging

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Area of Science:

  • Medical Imaging
  • Neuroimaging Techniques
  • Diffusion Weighted Imaging

Background:

  • Multiplexed sensitivity encoding (MUSE) reconstructs undersampled diffusion data.
  • Existing MUSE algorithms do not correct for patient motion during acquisition.
  • Motion artifacts degrade the quality of diffusion weighted imaging (DWI).

Purpose of the Study:

  • To integrate continuous prospective motion correction with MUSE for segmented DWI.
  • To evaluate the impact of motion on MUSE reconstructions.
  • To assess the effectiveness of prospective motion correction in high-resolution DWI.

Main Methods:

  • Simulations to analyze motion's effect on MUSE reconstruction.
  • Inclusion of coil sensitivity changes due to patient motion.
  • In vivo experiments demonstrating motion correction in high-resolution DWI.

Main Results:

  • Inconsistent imaging planes cause artifacts and blurring.
  • Motion during diffusion weighting leads to signal dropouts and artifacts.
  • Prospective motion correction effectively reduces artifacts from both small (1°) and large (5°) motions.

Conclusions:

  • Combining prospective motion correction with MUSE enables high-resolution DWI.
  • This integrated approach maintains image quality despite significant head motion.
  • The method is robust for clinical applications requiring precise DWI data.