@Article{Petr-MRM2007,
  IS = { zkontrolovano 30 Nov 2007 },
  UPDATE  = { 2007-10-01 },
  author = 	 {Petr, Jan and Kybic, Jan and Bock, Michael and 
                  M{\"u}ller, Sven and Hlav{\'a}{\v c}, V{\'a}clav},
  title = 	 {Parallel Image Reconstruction Using {B}-Spline Approximation ({PROBER})},
  journal = 	 {Magnetic Resonance in Medicine},
  year = 	 {2007},
  key = 	 {Petr-MRMR2007},
  volume = 	 {58},
  number = 	 {9},
  pages = 	 {582-591},
  month = 	 {September},
  publisher =  {John Wiley {&} Sons},
  address =    {Hoboken, USA},
  issn =       {0740-3194},
  authorship = {45-20-20-10-5},
  project =    {1ET101050403},
  annote = {Parallel MRI (pMRI) is a way to increase the speed of the
    MRI acquisition by com bining data obtained simultaneously from
    several receiver coils with distinct sp atial sensitivities. The
    measured data contains additional information about the position
    of the signal with respect to data obtained by a standard, uniform
    sen sitivity coil. The idea is to speed up the acquisition by
    sampling more sparsel y in the k-space and to compensate the data
    loss using the additional informatio n obtained by a higher number
    of receiver coils.  Most parallel reconstruction methods work in
    image domain and estimate the recon struction transformation
    independently in each pixel. We propose an algorithm th at uses
    B-spline functions to approximate the reconstruction map which
    reduces t he number of parameters to estimate and makes the
    reconstruction faster and less sensitive to noise.  The proposed
    method is tested on both phantom and in vivo images. The results
    ar e compared with commercial implementation of GRAPPA and SENSE
    algorithms in term s of time complexity and quality of the
    reconstruction.},
  keywords = {restoration, parallel MRI, magnetic resonance, B-spline},
  psurl = {[PDF, 660KB] },
}