Bi-temporal 3D Active Appearance Modelling

Mikkel Bille Stegmann

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


    Rapid and unsupervised quantitative analysis is of utmost importance to ensure clinical acceptance of many examinations using cardiac magnetic resonance imaging (MRI). We present a framework that aims at fulfilling these goals for the application of left ventricular ejection fraction estimation in fourdimensional MRI. The theoretical foundation of our work is the generative two-dimensional Active Appearance Models by Cootes et al., here extended to bi-temporal, three-dimensional models. Further issues treated include correction of respiratory induced slice displacements, systole detection, and a texture model pruning strategy. Cross-validation carried out on clinical-quality scans of twelve volunteers indicates that ejection fraction and cardiac blood pool volumes can be estimated automatically and rapidly with an accuracy on par with typical inter-observer variability.
    Original languageEnglish
    Title of host publicationIAVP - Image Analysis in Vivo Pharmachology, Roskilde, Denmark
    Publication date2005
    Publication statusPublished - 2005
    EventIAVP - Image Analysis in Vivo Pharmachology, Roskilde, Denmark -
    Duration: 1 Jan 2005 → …


    ConferenceIAVP - Image Analysis in Vivo Pharmachology, Roskilde, Denmark
    Period01/01/2005 → …

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