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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References
Marcus, J.T., DeWaal, I.K., Goette, M.J.W., et al.: MRI-derived left ventricular function parameters and mass in healthy young adults: Relation with gender and body size. International Journal of Cardiac Imaging 15, 411–419 (1999)
Nakajima, K., Higuchi, T., Taki, J., et al.: Accuracy of Ventricular Volume and Ejection Fraction Measured by Gated Myocardial SPECT: Comparison of 4 Software Programs. The Journal of Nuclear Medicine 42(10), 1571–1578 (2001)
Pretorius, P.H., Xia, W., King, M.A., et al.: Evaluation of Right and Left Ventricular Volume and Ejection Fraction Using a Mathematical Cardiac Torso Phantom. Journal of Nuclear Medicine 38(10), 1528–1535 (1997)
McInerney, T., Terzopoulos, D.: Deformable Models in Medical Images Analysis: A Survey. Medical Image Analysis 1(2), 91–108 (1996)
Chen, C.W., Huang, T.S., Arrott, M.: Modelling, Analysis, and Visualization of Left Ventricle Shape and Motion by Hierarchical Decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(4), 342–356 (1994)
Cwajg, J.M., Cwajg, E.: End-diastolic wall thickness as a predictor of recovery of function in myocardial hibernation. J. Am. Coll. Cardiol. 35(5), 1152–1161 (2000)
Haag, U.J., Maier, S.W., Jakob, M., et al.: Left ventricular wall thickness measurements by magnetic resonance: A validation study. International Journal of Cardiac Imaging 7, 31–41 (1991)
McInerney, T., Terzopoulos, D.: Deformable Models in Medical Image Analysis: A Survey. Medical Image Analysis 1(2), 91–108 (1996)
Choi, S.M., Kim, M.H.: Motion Visualization of Human Left Ventricle with a Time-varying Deformable Model for Cardiac Diagnosis. The Journal of Visualization and Computer Animation 12, 55–66 (2001)
Bardinet, E., Cohen, L.D., Ayache, N.: Tracking and motion analysis of the left ventricle with deformable superquadrics. Medical Image Analysis 1(2), 129–149 (1996)
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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)