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Related Experiment Video

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Prospective head motion correction using FID-guided on-demand image navigators.

Maryna Waszak1,2,3, Pavel Falkovskiy1,2,3, Tom Hilbert1,2,3

  • 1Advanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare AG, Lausanne, Switzerland.

Magnetic Resonance in Medicine
|August 17, 2016
PubMed
Summary

This study introduces a novel motion correction technique using free-induction-decay (FID) signals to detect head movement during MRI scans. The method improves image quality and brain volume measurement consistency by guiding prospective motion correction.

Keywords:
FID navigatorsMRIhead imagingimage navigatorsmotion detectionprospective motion correction

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Biophysics

Background:

  • Head motion during Magnetic Resonance Imaging (MRI) scans degrades image quality and introduces errors in quantitative analyses.
  • Accurate motion detection and correction are crucial for reliable neuroimaging studies.

Purpose of the Study:

  • To develop and evaluate a novel motion correction concept for MRI using free-induction-decay (FID) navigator signals.
  • To continuously monitor head motion and guide prospective motion correction during MRI acquisition.

Main Methods:

  • A motion correction concept was developed employing FID navigator signals to detect motion.
  • Image navigators were acquired and co-registered to obtain rigid-body motion parameters for prospective correction.
  • The method was integrated into a prototype magnetization-prepared rapid gradient-echo (MPRAGE) sequence and tested on healthy subjects.

Main Results:

  • The method demonstrated high sensitivity in detecting various head movements (nodding, shaking, z-direction).
  • Mean absolute errors for translation and rotation parameters were low (0.27±0.38 mm and 0.19±0.24°, respectively).
  • Qualitative and quantitative improvements in image quality and brain volume measurements were observed after motion correction.

Conclusions:

  • The presented method effectively detects head motion with minimal time investment for navigator acquisition.
  • Potential limitations include temporal resolution for motion detection, false-positive alarms, and registration accuracy.