title: Iterative image reconstruction for PROPELLER-MRI using the nonuniform fast fourier transform.
abstract: OBJECTIVE
  To investigate an iterative image reconstruction algorithm using the nonuniform fast Fourier transform (NUFFT) for PROPELLER (Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction) MRI.
  
  
  METHODS
  Numerical simulations, as well as experiments on a phantom and a healthy human subject were used to evaluate the performance of the iterative image reconstruction algorithm for PROPELLER, and compare it with that of conventional gridding. The trade-off between spatial resolution, signal to noise ratio, and image artifacts, was investigated for different values of the regularization parameter. The performance of the iterative image reconstruction algorithm in the presence of motion was also evaluated.
  
  
  RESULTS
  It was demonstrated that, for a certain range of values of the regularization parameter, iterative reconstruction produced images with significantly increased signal to noise ratio, reduced artifacts, for similar spatial resolution, compared with gridding. Furthermore, the ability to reduce the effects of motion in PROPELLER-MRI was maintained when using the iterative reconstruction approach.
  
  
  CONCLUSIONS
  An iterative image reconstruction technique based on the NUFFT was investigated for PROPELLER MRI. For a certain range of values of the regularization parameter, the new reconstruction technique may provide PROPELLER images with improved image quality compared with conventional gridding.
authors.affiliation: Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, USA.
authors.forename: Ashish A
authors.initials: AA
authors.lastname: Tamhane
authors.forename: Mark A
authors.initials: MA
authors.lastname: Anastasio
authors.forename: Minzhi
authors.initials: M
authors.lastname: Gui
authors.forename: Konstantinos
authors.initials: K
authors.lastname: Arfanakis
mesh_terms: D000465:Algorithms; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D012016:Reference Values