title: Acceleration and motion-correction techniques for high-resolution intravascular MRI.
abstract: OBJECTIVE
  High-resolution intravascular (IV) MRI is susceptible to degradation from physiological motion and requires high frame-rates for true endoscopy. Traditional cardiac-gating techniques compromise efficiency by reducing the effective scan rate. Here we test whether compressed sensing (CS) reconstruction and ungated motion-compensation using projection shifting, could provide faster motion-suppressed, IVMRI.
  
  
  METHODS
  CS reconstruction is developed for undersampled Cartesian and radial imaging using a new IVMRI-specific cost function to effectively increase imaging speed. A new motion correction method is presented wherein individual IVMRI projections are shifted based on the IVMRI detector's intrinsic amplitude and phase properties. The methods are tested at 3 Tesla (T) in fruit, human vessel specimens, and a rabbit aorta in vivo. Images are compared using structural-similarity and "spokal variation" indices.
  
  
  RESULTS
  Although some residual artifacts persisted, CS acceleration and radial motion compensation strategies reduced motion artifact in vitro and in vivo, allowing effective accelerations of up to eight-fold at 200-300 µm resolution.
  
  
  CONCLUSIONS
  The 3T IVMRI detectors are well-suited to CS and motion correction strategies based on their intrinsic radially-sparse sensitivity profiles and high signal-to-noise ratios.
authors.affiliation: Russell H. Morgan Department of Radiology & Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA.
authors.forename: Shashank Sathyanarayana
authors.initials: SS
authors.lastname: Hegde
authors.affiliation: Russell H. Morgan Department of Radiology & Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA.|Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
authors.forename: Yi
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Russell H. Morgan Department of Radiology & Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA.|Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
authors.forename: Paul A
authors.initials: PA
authors.lastname: Bottomley
mesh_terms: D000465:Algorithms; D000818:Animals; D001158:Arteries / Q000033:anatomy & histology*; D016477:Artifacts; D057510:Endovascular Procedures / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D009038:Motion; D011817:Rabbits; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: compressed sensing; intravascular MRI; motion correction; projection reconstruction