Self-navigation with compressed sensing for 2D translational motion correction in free-breathing coronary MRI: a feasibility study

  • Gabriele Bonanno
  • , Gilles Puy
  • , Yves Wiaux
  • , Ruud B. van Heeswijk
  • , Davide Piccini
  • , Matthias Stuber*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Respiratory motion correction remains a challenge in coronary magnetic resonance imaging (MRI) and current techniques, such as navigator gating, suffer from sub-optimal scan efficiency and ease-of-use. To overcome these limitations, an image-based self-navigation technique is proposed that uses “sub-images” and compressed sensing (CS) to obtain translational motion correction in 2D. The method was preliminarily implemented as a 2D technique and tested for feasibility for targeted coronary imaging.
Original languageEnglish
Article number105523
Number of pages10
JournalPLoS ONE
Volume9
Issue number8
DOIs
Publication statusPublished - 29 Aug 2014

Keywords

  • MAGNETIC-RESONANCE ANGIOGRAPHY
  • CARDIAC CINE MRI
  • K-T FOCUSS
  • RESPIRATORY MOTION
  • IMAGE-RECONSTRUCTION
  • SPATIAL-RESOLUTION
  • HEART
  • HOLD
  • TRAJECTORIES
  • ALGORITHMS

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