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Related Experiment Video

Updated: Apr 8, 2026

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Collapsed fat navigators for brain 3D rigid body motion.

Mathias Engström1, Magnus Mårtensson1, Enrico Avventi1

  • 1Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden; EMEA Research and Collaboration, GE Applies Science Laboratory, GE Healthcare, Stockholm, Sweden.

Magnetic Resonance Imaging
|June 29, 2015
PubMed
Summary

This study introduces collapsed FatNav, a novel technique for motion correction in diffusion-weighted 3D multi-slab echo planar imaging (DW 3D-MS EPI). It effectively reduces motion artifacts, improving image quality with minimal scan time increase.

Keywords:
Chemical saturationFat navigatorMotion correctionProspective correction

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Neuroimaging Techniques
  • Medical Physics

Background:

  • Motion artifacts are a significant challenge in high-resolution MRI, particularly in diffusion-weighted 3D multi-slab echo planar imaging (DW 3D-MS EPI).
  • Accurate tracking and correction of head motion are crucial for reliable neuroimaging studies.

Purpose of the Study:

  • To develop and evaluate a novel motion correction technique using collapsed fat navigators (collapsed FatNav) for DW 3D-MS EPI.
  • To achieve high-resolution 3D multi-slab echo planar imaging data free from motion artifacts.

Main Methods:

  • Integration of a collapsed FatNav module into a DW 3D-MS EPI sequence.
  • Utilizing three orthogonal echo planar imaging readouts for rigid body head motion tracking.
  • Prospective motion correction based on fat navigator signals from subcutaneous head fat.

Main Results:

  • The collapsed FatNav accurately depicts head motion by tracking subcutaneous fat projections.
  • Motion correction demonstrated insignificant bias compared to estimates from water-signaling DWI images.
  • Collapsed FatNav data allowed for high acceleration using parallel imaging, enabling rapid 2D EPI readouts.

Conclusions:

  • The collapsed FatNav technique enables motion artifact reduction in DW 3D-MS EPI with only a ~5% scan time penalty.
  • This method effectively detects and corrects head motion at a 5-10Hz update frequency.
  • The technique leverages existing fat saturation pulses, minimizing sequence modifications.