Ischemic Segment Detection using the Support Vector Domain Description

Michael Sass Hansen, Hildur Ólafsdóttir, Karl Sjöstrand, Henrik B. Larsson, Mikkel Bille Stegmann, Rasmus Larsen, The International Society for Optical Engineering (SPIE) (Editor)

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    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.
    Original languageEnglish
    Title of host publicationInternational Symposium on Medical Imaging
    Publication date2007
    Publication statusPublished - 2007
    Event2007 SPIE International Symposium on Medical Imaging - Town & Country Hotel, San Diego, CA, United States
    Duration: 17 Feb 200722 Feb 2007

    Conference

    Conference2007 SPIE International Symposium on Medical Imaging
    LocationTown & Country Hotel
    CountryUnited States
    CitySan Diego, CA
    Period17/02/200722/02/2007

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