Abstract
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.
Cite
CITATION STYLE
Lelieveldt, B. P. F., Mitchell, S. C., Bosch, J. G., van der Geest, R. J., Sonka, M., & Reiber, J. H. C. (2001). Time-continuous segmentation of cardiac image sequences using active appearance motion models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2082, pp. 446–452). Springer Verlag. https://doi.org/10.1007/3-540-45729-1_47
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