Diagnosis of Connective Tissue Disorders based on Independent Component Analysis of Aortic Shape and Motion from 4D MR Images |
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| Abstract | Independent component analysis (ICA) is employed for com\-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~\%. |
| Type | Conference paper [With referee] |
| Conference | The 1st International Workshop on Computer Vision for Intravascular and Intracardiac Imaging. CVII 2006 |
| Editors | Ioannis Kakadiaris, Greg Slabaugh and Allen Tannenbaum |
| Year | 2006 Month October |
| Publisher | IEEE |
| Series | IEEE Transactions on Information Technology in Biomedicine |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |