@CONFERENCE\{IMM2006-04819,
    author       = "M. S. Hansen and F. Zhao and H. Zhang and B. K. Ersb{\o}ll and A. Wahle and T. Scholz and M. Sonka",
    title        = "Diagnosis of Connective Tissue Disorders based on Independent Component Analysis of Aortic Shape and Motion from {4D} {MR} Images",
    year         = "2006",
    month        = "oct",
    booktitle    = "The 1st International Workshop on Computer Vision for Intravascular and Intracardiac Imaging. {CVII} 2006",
    volume       = "",
    series       = "{IEEE} Transactions on Information Technology in Biomedicine",
    editor       = "Ioannis Kakadiaris, Greg Slabaugh and Allen Tannenbaum",
    publisher    = "IEEE",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/4819-full.html",
    abstract     = "Independent component analysis (ICA) is employed for com\$\backslash\$-puter-aided diagnosis (CAD) allowing objective identification of subjects with connective tissue disorder from {4D} aortic {MR} images. Stationary independent components assist in the disease detection, which is the first implementation reported in the field of medical imaging. Prior knowledge of the source distribution is utilized using an appropriate ordering of the components. The {CAD} method distinguished between normal and diseased subjects with a classification accuracy of 96.8\verb+~+\$\backslash\$\%."
}