title: Application of time-resolved angiography with stochastic trajectories (TWIST)-Dixon in dynamic contrast-enhanced (DCE) breast MRI.
abstract: OBJECTIVE
  To evaluate a magnetic resonance imaging (MRI) technique that integrates time-resolved angiography with stochastic trajectories (TWIST) view sharing and Dixon for a breast dynamic contrast-enhanced (DCE)-MRI application.
  
  
  METHODS
  Simulation study: K-space data at six timepoints (1 pre-, 5 postcontrast) were generated by performing Fourier transform on a digital "phantom" with 3-9 mm enhancing lesions and three types of enhancement curves (persistent, plateau, washout). Images were reconstructed with and without TWIST. Clinical study: Six TWIST-Dixon image sets (one pre-, five postcontrast) were acquired in 18 patients on a 3T scanner, followed by one conventional image set. The last TWIST-Dixon and the conventional images were scored for seven criteria: perceived signal-to-noise ratio (P.SNR), visualization of anatomy, fat suppression (FS) accuracy, FS uniformity, ghosting artifact, edge ringing artifact, and overall image quality (IQ).
  
  
  RESULTS
  Simulation study: With proper TWIST parameters (pA ≥33%, pB ≥50%), the enhancement underestimation was 5% or less for tumor size ≥5 mm. Clinical study: TWIST-Dixon images have significantly better scores in all criteria except for ghosting artifacts, where the difference was not significant.
  
  
  CONCLUSIONS
  With proper parameters, TWIST-Dixon provides higher perceived SNR, more accurate fat suppression, and better overall image quality for breast DCE-MRI without sacrificing accuracy in the enhancement estimation.
authors.affiliation: Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Le
authors.forename: Hal
authors.initials: H
authors.lastname: Kipfer
authors.forename: Shadie
authors.initials: S
authors.lastname: Majidi
authors.forename: Stephanie
authors.initials: S
authors.lastname: Holz
authors.forename: Brian
authors.initials: B
authors.lastname: Dale
authors.forename: Christian
authors.initials: C
authors.lastname: Geppert
authors.forename: Randall
authors.initials: R
authors.lastname: Kroeker
authors.forename: Chen
authors.initials: C
authors.lastname: Lin
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis*; D003287:Contrast Media; D003627:Data Interpretation, Statistical; D038524:Diffusion Magnetic Resonance Imaging / 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 / Q000295:instrumentation / Q000379:methods*; D008875:Middle Aged; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013269:Stochastic Processes
chemical_list: D003287:Contrast Media
keywords: Dixon; TWIST; breast MRI; dynamic contrast enhancement; fat suppression; view sharing