@CONFERENCE\{IMM2004-03163,
    author       = "H. \'{O}lafsd\'{o}ttir and M. B. Stegmann and H. B. Larsson",
    title        = "Automatic assessment of cardiac perfusion {MRI}",
    year         = "2004",
    month        = "sep",
    pages        = "1060 - 1061",
    booktitle    = "Medical image computing and computer assisted intervention, {MICCAI}",
    volume       = "36",
    series       = "Lecture Notes in Computer Science",
    editor       = "Christian Barillot, David R. Haynor, Pierre Hellier",
    publisher    = "Springer",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/3163-full.html",
    abstract     = "In this paper, a method based on Active Appearance Models (AAM) is
applied for automatic registration of myocardial perfusion {MRI}. A
semi-quantitative perfusion assessment of the registered image
sequences is presented.  This includes the formation of perfusion
maps for three parameters; maximum up-slope, peak and
time-to-peak.",
    isbn_issn    = "{ISSN} 0302-9743"
}