Bi-temporal 3D Active Appearance Modelling

Mikkel B. Stegmann

AbstractRapid 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.
TypeConference paper [Abstract]
ConferenceIAVP - Image Analysis in Vivo Pharmachology, Roskilde, Denmark
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics