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\$%.
|Title of host publication||The 1st International Workshop on Computer Vision for Intravascular and Intracardiac Imaging. CVII 2006|
|Publication status||Published - 2006|