Echocardiographic image sequence compression based on spatial active appearance model

Authors:
Sándor M. Szilágyi;László Szilágyi;Zoltán Benyó
Affiliations:
Sapientia-Hungarian Science University of Transylvania, Faculty of Technical and Human Science, Târgu-Mureş, Romania;Sapientia-Hungarian Science University of Transylvania, Faculty of Technical and Human Science, Târgu-Mureş, Romania and Budapest University of Technology and Economics, Dept. of Control ...;Budapest University of Technology and Economics, Dept. of Control Engineering and Information Technology, Budapest, Hungary
Venue:
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Year:
2007

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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.