Bi-temporal 3D Active Appearance Modelling | Mikkel B. Stegmann
| | Abstract | 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. | | Type | Conference paper [Abstract] | | Conference | IAVP - Image Analysis in Vivo Pharmachology, Roskilde, Denmark | | Year | 2005 | | BibTeX data | [bibtex] | | IMM Group(s) | Image Analysis & Computer Graphics |
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