@CONFERENCE\{IMM2003-01255,
    author       = "M. B. Stegmann and H. B. W. Larsson",
    title        = "Motion-compensation of Cardiac Perfusion {MRI} using a Statistical Texture Ensemble",
    year         = "2003",
    month        = "jun",
    keywords     = "segmentation, myocardial perfusion imaging, active appearance models, clustering",
    pages        = "151-161",
    booktitle    = "Functional Imaging and Modeling of the Heart, {FIMH} 2003",
    volume       = "2674",
    series       = "Lecture Notes in Computer Science",
    editor       = "Magnin, I. E., Montagnat, J., Clarysse, P., Nenonen, J., Katila, T.",
    publisher    = "Springer Verlag",
    organization = "",
    address      = "Lyon, France",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/1255-full.html",
    abstract     = "This paper presents a novel method for segmentation of cardiac perfusion {MRI}. By performing complex analyses of variance and clustering in an annotated training set off-line, the presented method provide real-time segmentation in an on-line setting. This renders the method feasible for e.g. analysis of large image databases or for live motion-compensation in modern {MR} scanners. 
Changes in image intensity during the bolus passage is modelled by an Active Appearance Model is augmented with a cluster analysis of the training set and priors on pose and shape.
Preliminary validation of the method is carried out using 250 {MR} perfusion images, acquired without breath-hold from five subjects. Results show high accuracy, given the limited number of subjects."
}