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Improvement in diagnostic quality of structural and angiographic MRI of the brain using motion correction with

Mads Andersen1,2, Isabella M Björkman-Burtscher3,4,5, Anouk Marsman1

  • 1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.

Plos One
|May 18, 2019
PubMed
Abstract

Insights

The iMOCO system significantly improves diagnostic image quality in magnetic resonance (MR) brain imaging affected by subject movement. This prospective motion correction technology recovers usable diagnostic information from otherwise unusable scans.

Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Magnetic Resonance Imaging

Background:

  • Subject movement during magnetic resonance (MR) brain imaging causes severe artifacts, compromising diagnostic image quality.
  • Prospective motion correction systems aim to mitigate these artifacts in real-time.

Purpose of the Study:

  • To evaluate the diagnostic image quality of T1-weighted, T2-weighted, and time-of-flight (TOF) angiographic MR sequences using a flexible, navigator-based prospective motion correction system (iMOCO).

Main Methods:

  • Five healthy volunteers underwent MR brain scans with and without the iMOCO system activated under various movement scenarios.
  • An experienced neuroradiologist assessed image quality using a four-grade scale, focusing on grey-white matter discrimination, basal ganglia, and small structure/vessel delineation.

Main Results:

  • iMOCO significantly improved general image impression and anatomical grading across T1, T2, and TOF sequences when deliberate motion was present (p<0.01 for most).
  • Non-diagnostic image quality decreased from 91% without iMOCO to 4% with iMOCO in scans with motion.
  • iMOCO showed no negative impact on image quality in scans without deliberate movement.

Conclusions:

  • The iMOCO system substantially enhances MR brain imaging quality in the presence of subject motion.
  • This technology effectively recovers diagnostic information from scans that would otherwise be rendered unusable due to artifacts.

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