Multi-dimensional visualization and analysis of cardiac MR images during long-term follow-up

Authors:
Min-Jeong Kim;Soo-Mi Choi;Yoo-Joo Choi;Myoung-Hee Kim
Affiliations:
Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea;Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea
Venue:
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Year:
2006

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Modeling, Analysis, and Visualization of Left Ventricle Shape and Motion by Hierarchical Decomposition

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Abstract

Follow-up studies of human organs with certain abnormalities are necessary to monitor the effect of therapy and the extent of recovery. But, current approaches are limited to subjective estimation by physicians. In this paper, we present a comparative visualization and objective analysis system for long-term follow-up studies using cardiac MR images. This system uses dynamic cardiac models in order to effectively analyze huge cardiac datasets acquired at different times and applies the data hierarchy that is proper for effectively managing the multi-dimensional cardiac images, dynamic models and analyzed parameters for each patient. The proposed system provides various quantitative analysis functions for global and local diagnostic parameters of ventricles based on the physical properties of the heart.