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.
|Title of host publication||International Symposium on Medical Imaging 2005, San Diego, CA, Proc. of SPIE|
|Publication status||Published - 2005|
|Event||2005 International Symposium on Medical Imaging - San Diego, CA, United States|
Duration: 13 Feb 2005 → 15 Feb 2005
|Conference||2005 International Symposium on Medical Imaging|
|City||San Diego, CA|
|Period||13/02/2005 → 15/02/2005|