@CONFERENCE\{IMM2009-05798,
    author       = "H. Pedersen and H. B. W. Larsson and R. Larsen",
    title        = "Reconstruction of free-breathing myocardial perfusion {MRI} using simultanous modeling of perfusion and motion (SMPM) and arbitrary k-space sampling",
    year         = "2009",
    pages        = "663",
    booktitle    = "Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5798-full.html",
    abstract     = "Respiratory motion of the heart represents a major practical problem in myocardial perfusion {MRI,} because it hampers perfusion quantification and causes residual aliasing artifacts in modern k-space undersampling techniques. This work presents a computational framework that allows simultaneous modeling of perfusion and motion (SMPM) for arbitrary k-space sampling strategies. We demonstrate the {SMPM} concept for a representative free-breathing myocardial perfusion data set using 1) fully sampled k-space data, 2) undersampled Cartesian k-space data, and 3) undersampled radial k-space data. Results show that the {SMPM} approach fits the original data well, both with fully sampled k-space data and {8-}fold radial undersampling."
}