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 four-dimensional 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 accuracy on par with typical inter-observer variability.
Original language | English |
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Title of host publication | International Symposium on Medical Imaging 2005, San Diego, CA, Proc. of SPIE |
Publisher | SPIE |
Publication date | 2005 |
Pages | 336-350 |
Publication status | Published - 2005 |
Event | SPIE Medical Imaging 2005 - San Diego, United States Duration: 12 Feb 2005 → 17 Feb 2005 |
Conference
Conference | SPIE Medical Imaging 2005 |
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Country/Territory | United States |
City | San Diego |
Period | 12/02/2005 → 17/02/2005 |