A Unified Framework for Atlas Matching Using Active Appearance Models
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Space and Time Shape Constrained Deformable Surfaces for 4D Medical Image Segmentation
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering
IEEE Transactions on Image Processing
Extending Active Shape Models to Incorporate a-priori Knowledge about Structural Variability
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A patient specific electro-mechanical model of the heart
Computer Methods and Programs in Biomedicine
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This paper describes a novel, 2D+time Active Appearance Motion Model (AAMM). Cootes's 2D AAM framework was extended by considering a complete image sequence as a single shape/intensity sample. This way, the cardiac motion is modeled in combination with the shape and image appearance of the heart. The clinical potential of the AAMMs is demonstrated on two imaging modalities - cardiac MRI and echocardiography.