Abstract
This paper presents a new method for echocardiographic image sequence compression based on active appearance model. The key element is the intensive usage of all kind of a priori medical information, such as electrocardiography (ECG) records and heart anatomical data that can be processed to estimate the ongoing echocardiographic image sequences. Starting from the accurately estimated images, we could obtain lower amplitude residual signal and accordingly higher compression rate using a fixed image distortion. The realized spatial active appearance model provides a tool to investigate the long term variance of the heart’s shape and its volumetric variance over time.
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Szilágyi, S.M., Szilágyi, L., Benyó, Z. (2007). Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model. In: Rueda, L., Mery, D., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2007. Lecture Notes in Computer Science, vol 4756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76725-1_87
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DOI: https://doi.org/10.1007/978-3-540-76725-1_87
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