Model-based segmentation of short-axis MR cardiac images

    Research output: Contribution to conferencePaperpeer-review

    1 Citation (Scopus)

    Abstract

    Reliable automatic segmentation of MR cardiac images is still an important problem in medical image processing. Although image data quality has improved considerably during the last years, this segmentation is still considered a difficult problem. Manual segmentation is hardly an option as this is extremely labour intensive. This paper describes a combined bottom-up and top-down approach to the problem of automatic segmentation of short-axis MR cardiac images, i.e. extract the boundaries of the left and right ventricle and the myocardium. The method is evaluated using 69 datasets for which manual segmentations were available.
    Original languageEnglish
    Pages39-43
    Number of pages5
    DOIs
    Publication statusPublished - Jun 2005
    Event19th International Congress and Exhibition on Computer Assisted Radiology and Surgery, CARS 2005 - Berlin, Germany
    Duration: 21 Jun 200525 Jun 2005
    Conference number: 19

    Conference

    Conference19th International Congress and Exhibition on Computer Assisted Radiology and Surgery, CARS 2005
    Abbreviated titleCARS
    CountryGermany
    CityBerlin
    Period21/06/0525/06/05

    Keywords

    • IR-65086
    • SCS-Safety
    • EWI-14027

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