title: Turbo fast three-dimensional carotid artery black-blood MRI by combining three-dimensional MERGE sequence with compressed sensing.
abstract: OBJECTIVE
  In this study, we sought to investigate the feasibility of turbo fast three-dimensional (3D) black-blood imaging by combining a 3D motion-sensitizing driven equilibrium rapid gradient echo sequence with compressed sensing.
  
  
  METHODS
  A pseudo-centric phase encoding order was developed for compressed sensing-3D motion-sensitizing driven equilibrium rapid gradient echo to suppress flow signal in undersampled 3D k-space. Nine healthy volunteers were recruited for this study. Signal-to-tissue ratio, contrast-to-tissue ratio (CTR) and CTR efficiency (CTReff ) between fully sampled and undersampled images were calculated and compared in seven subjects. Moreover, isotropic high resolution images using different compressed sensing acceleration factors were evaluated in two other subjects.
  
  
  RESULTS
  Wall-lumen signal-to-tissue ratio or CTR were comparable between the undersampled and the fully sampled images, while significant improvement of CTReff was achieved in the undersampled images. At an isotropic high spatial resolution of 0.7 × 0.7 × 0.7 mm(3) , all undersampled images exhibited similar level of the flow suppression efficiency and the capability of delineating outer vessel wall boundary and lumen-wall interface, when compared with the fully sampled images.
  
  
  CONCLUSIONS
  The proposed turbo fast compressed sensing 3D black-blood imaging technique improves scan efficiency without sacrificing flow suppression efficiency and vessel wall image quality. It could be a valuable tool for rapid 3D vessel wall imaging.
authors.affiliation: College of Engineering, Peking University, Beijing, People's Republic of China.
authors.forename: Bo
authors.initials: B
authors.lastname: Li
authors.forename: Li
authors.initials: L
authors.lastname: Dong
authors.forename: Bin
authors.initials: B
authors.lastname: Chen
authors.forename: Shuangxi
authors.initials: S
authors.lastname: Ji
authors.forename: Wenchao
authors.initials: W
authors.lastname: Cai
authors.forename: Ye
authors.initials: Y
authors.lastname: Wang
authors.forename: Jue
authors.initials: J
authors.lastname: Zhang
authors.forename: Zhaoqi
authors.initials: Z
authors.lastname: Zhang
authors.forename: Xiaoying
authors.initials: X
authors.lastname: Wang
authors.forename: Jing
authors.initials: J
authors.lastname: Fang
mesh_terms: D000328:Adult; D000465:Algorithms; D002339:Carotid Arteries / Q000033:anatomy & histology*; D044962:Data Compression / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008297:Male; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: 3D-MERGE; CS-3D MERGE; compressed sensing; pseudo-centric phase encoding order; random sampling; vessel wall imaging