@InProceedings{Kybic-IPMI2005,
  IS = { zkontrolovano 11 Nov 2005 },
  UPDATE  = { 2005-05-03 },
  title =        { Computational Elastography from Standard Ultrasound Image
                   Sequences by Global Trust Region Optimization },
  author =       { Jan Kybic and Daniel Smutek },
  year =         { 2005 },
  booktitle =    { Proceedings of IPMI, Lecture Notes in Computer Science },
  editor =       { Milan {\v{S}}onka and Gary Christensen },
  psurl =        { [Pdf,268 KB]},
  url =          { ftp://cmp.felk.cvut.cz/pub/cmp/articles/kybic/Kybic-IPMI2005-color.pdf },
  publisher =    { Springer Verlag },
  authorship =   { 85-15 },
  project =      { MSM6840770012 },
  isbn =         { 3-540-26545-7 },
  month =        { July },
  day =          { 11--15 },
  venue =        { Glenwood Springs, Colorado },
  book_pages =   { 773 },
  address =      { Heidelberg, Germany },
  annote = { A new approach is proposed to estimate the spatial
    distribution of shear modulus of tissues in-vivo. An image
    sequence is acquired using a standard medical ultrasound scanner
    while varying the force applied to the handle. The elastic
    properties are then recovered simultaneously with the inter-frame
    displacement fields using a computational procedure based on
    finite element modeling and trust region constrained
    optimization. No assumption about boundary conditions is
    needed. The optimization procedure is global, taking advantage of
    all available images. The algorithm was tested on phantom, as well
    as on real clinical images. },
  keywords =     { ultrasound sequence, elasticity, elastography,
                   constrained optimization, trust region method },
  pages       = { 299--310 },
  number      = { 3565 },
}