@inproceedings{6ff75968bdb84fe8a4b301200a44764d,
title = "Left ventricle motion analysis by hierarchical decomposition",
abstract = "This paper presents an approach to the modeling and analysis of left ventricle motion and deformation. The hierarchical motion model of left ventricle is constructed by combining several existing simple models and is able to capture major motion and deformation components that are already confirmed by medical observations. The hierarchical decomposition characterizes the left ventricle motion and deformation in a coarse-to-fine fashion and leads to computationally efficient estimation algorithms. We estimate the global rigid motion of the left ventricle by establishing a time-varying object-centered coordinate system. The global and local deformations of the left ventricle are obtained by fitting the given data to superquadric and spherical harmonic modeling primitives respectively. The animation of estimation results are consistent with a priori knowledge of the left ventricle and therefore show the success of our hierarchical decomposition based approach.",
author = "Chen, \{Chang Wen\} and Huang, \{Thomas S.\}",
note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 ; Conference date: 23-03-1992 Through 26-03-1992",
year = "1992",
doi = "10.1109/ICASSP.1992.226198",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "273--276",
booktitle = "ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing",
address = "United States",
}