title: Highly efficient nonrigid motion-corrected 3D whole-heart coronary vessel wall imaging.
abstract: To develop a respiratory motion correction framework to accelerate free-breathing three-dimensional (3D) whole-heart coronary lumen and coronary vessel wall MRI.
  
  
  
  We developed a 3D flow-independent approach for vessel wall imaging based on the subtraction of data with and without T2-preparation prepulses acquired interleaved with image navigators. The proposed method corrects both datasets to the same respiratory position using beat-to-beat translation and bin-to-bin nonrigid corrections, producing coregistered, motion-corrected coronary lumen and coronary vessel wall images. The proposed method was studied in 10 healthy subjects and was compared with beat-to-beat translational correction (TC) and no motion correction for the left and right coronary arteries. Additionally, the coronary lumen images were compared with a 6-mm diaphragmatic navigator gated and tracked scan.
  
  
  
  No significant differences (P > 0.01) were found between the proposed method and the gated and tracked scan for coronary lumen, despite an average improvement in scan efficiency to 96% from 59%. Significant differences (P < 0.01) were found in right coronary artery vessel wall thickness, right coronary artery vessel wall sharpness, and vessel wall visual score between the proposed method and TC.
  
  
  
  The feasibility of a highly efficient motion correction framework for simultaneous whole-heart coronary lumen and vessel wall has been demonstrated. Magn Reson Med 77:1894-1908, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
authors.affiliation: King's College London, Division of Imaging Sciences and Biomedical Engineering, London, United Kingdom.
authors.forename: Gastão
authors.initials: G
authors.lastname: Cruz
authors.affiliation: Centre for Medical Imaging, University College London, London, United Kingdom.
authors.forename: David
authors.initials: D
authors.lastname: Atkinson
authors.affiliation: King's College London, Division of Imaging Sciences and Biomedical Engineering, London, United Kingdom.
authors.forename: Markus
authors.initials: M
authors.lastname: Henningsson
authors.affiliation: King's College London, Division of Imaging Sciences and Biomedical Engineering, London, United Kingdom.|Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago, Chile.
authors.forename: Rene M
authors.initials: RM
authors.lastname: Botnar
authors.affiliation: King's College London, Division of Imaging Sciences and Biomedical Engineering, London, United Kingdom.|Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago, Chile.
authors.forename: Claudia
authors.initials: C
authors.lastname: Prieto
mesh_terms: D000465:Algorithms; D003331:Coronary Vessels / Q000000981:diagnostic imaging*; D004730:Endothelium, Vascular / Q000000981:diagnostic imaging; D005260:Female; D064368:Healthy Volunteers; D006321:Heart / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods; D008297:Male; D009038:Motion; D012119:Respiration; D055425:Respiratory-Gated Imaging Techniques / Q000379:methods
keywords: coronary MRA; coronary vessel wall; image navigators; nonrigid motion