@CONFERENCE\{IMM2003-01754,
    author       = "M. B. Stegmann and H. B. W. Larsson",
    title        = "Fast Registration of Cardiac Perfusion {MRI}",
    year         = "2003",
    month        = "may",
    pages        = "702",
    booktitle    = "Proc. International Society of Magnetic Resonance In Medicine - {ISMRM} 2003, Toronto, Ontario, Canada",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "ISMRM",
    organization = "",
    address      = "Berkeley, {CA,} {USA}",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/1754-full.html",
    abstract     = "This abstract presents a novel method for registration of cardiac perfusion {MRI} sequences. By performing complex analyses of variance and clustering in an annotated training set off-line, our method provides real-time segmentation in an on-line setting. This renders the method feasible for live motion-compensation in {MR} scanners. Changes in image intensity during the bolus passage are modelled by an Active Appearance Model augmented with a cluster analysis of the training set. Preliminary validation carried out using five subjects showed acceptable segmentation accuracy produced very rapidly (below 40 ms per image)."
}