@InProceedings{Petr-SPIE2006,
  IS = { zkontrolovano 29 Dec 2006 },
  UPDATE  = { 2006-03-14 },
  author =      {Petr, Jan and Kybic, Jan and Hlav{\'a}{\v c}, V{\'a}clav and M{\"u}ller,Sven and Bock, Michael},
  title =       {Fast Parallel {MRI} Reconstruction Using B-spline Approximation ({PROBER})},
  year =        {2006},
  pages =       {1251--1262},
  booktitle =   {Proceedings of SPIE},
  editor =      {Flynn, Michael J. and Hsieh, Jiang},
  publisher =   {SPIE},
  address =     {Bellingham, Washington, USA},
  isbn =        {0-8194-6185-7},
  volume =      {6142},
  series =      {Medical Imaging 2006: Physics of Medical Imaging},
  book_pages =  {12},
  month =       {February},
  day =         {11--16},
  venue =       {San Diego, California},
  organization ={SPIE},
  annote = {Parallel MRI (pMRI) is a way to increase the speed of the
    MRI acquisition by combining data obtained simultaneously from
    several receiver coils with distinct spatial sensitivities. The
    measured data contains additional information about the position
    of the signal with respect to data obtained by a standard, uniform
    sensitivity coil. The idea is to speed up the acquisition by
    sampling more sparsely in the k-space and to compensate the data
    loss using the additional information obtained by a higher number
    of receiver coils. Most parallel reconstruction methods work in
    image domain and estimate the reconstruction transformation
    independently in each pixel. We propose an algorithm that uses
    B-spline functions to approximate the reconstruction map which
    reduces the 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
    are compared with commercial implementation of GRAPPA and SENSE
    algorithms in terms of time complexity and quality of the
    reconstruction.},
  keywords =    {MRI, parallel MRI, b-splines},
  authorship =  {30-30-20-10-10},
  project =     {1ET101050403, CTU0614913, specific research},
  psurl =       {full-text (PDF),
                 poster (PDF)},
}