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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kim, MJ., Choi, SM., Choi, YJ., Kim, MH. (2006). Multi-dimensional Visualization and Analysis of Cardiac MR Images During Long-Term Follow-Up. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867661_54
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DOI: https://doi.org/10.1007/11867661_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44894-5
Online ISBN: 978-3-540-44896-9
eBook Packages: Computer ScienceComputer Science (R0)