@CONFERENCE\{IMM2007-04821, author = "M. S. Hansen and H. \'{O}lafsd\'{o}ttir and K. Sj{\"{o}}strand and H. B. Larsson and M. B. Stegmann and R. Larsen", title = "Ischemic Segment Detection using the Support Vector Domain Description", year = "2007", month = "feb", booktitle = "International Symposium on Medical Imaging", volume = "", series = "", editor = "The International Society for Optical Engineering (SPIE)", publisher = "", organization = "", address = "", url = "http://www2.compute.dtu.dk/pubdb/pubs/4821-full.html", abstract = "Myocardial perfusion Magnetic Resonance (MR) imaging has proven to be a powerful method to assess coronary artery diseases. The current work presents a novel approach to the analysis of registered sequences of myocardial perfusion {MR} images. A previously reported {AAM-}based segmentation and registration of the myocardium provided pixel-wise signal intensity curves that were analyzed using the Support Vector Domain Description (SVDD). In contrast to normal {SVDD,} the entire regularization path was calculated and used to calculate a generalized distance. The results corresponded well to the ischemic segments found by assessment of the three common perfusion parameters; maximum upslope, peak and time-to-peak obtained pixel-wise." }