Abstract
This paper describes accurate methods for measuring diagnostic data in cardiology and presents new ideas on interactive data visualization with 3D glyphs to get better insight about the measured data. First, we reconstruct the 3D shape and motion of the left ventricle from cardiac images using our time-varying deformable model. Then we accurately compute ventricular volume, mass, wall thickness and wall motion in 3D or 4D spaces. The computed data are interactively visualized in a qualitative and quantitative manner and can be combined into a single glyph. Thus, glyph-based interactive visualization can encode more information and can give access to several aspects of diagnostic data at once. This perceptually easy interface is useful for many diagnostic and patient monitoring applications.
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References
Pentland, A., Horowitz, B.: Recovery of Nonrigid Motion and Structure. IEEE Transactions on Pattern Analysis and Machine Intelligence 13(7), 730–742 (1991)
Chen, C.W., Huang, T.S., Arrott, M.: Modelling, Analysis, and Visualization of Left Ventri-cle Shape and Motion by Hierarchical Decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(4), 342–356 (1994)
McInerney, T., Terzopoulos, D.: A Dynamic Finite Element Surface Model for Segmentation and Tracking in Multidimensional Medical Images with Application to Cardiac 4D Image Analysis. Computerized Medical Imaging and Graphics 19(1), 69–83 (1995)
Naster, C., Ayache, N.: Frequency-Based Nonrigid Motion Analysis: Application to Four Dimensional Medical Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(11), 1067–1079 (1996)
Park, J., Metaxas, D., Axel, L.: Analysis of left ventricular wall motion based on volumetric deformable models and MRI-SPAMM. Medical Image Analysis 1(1), 53–71 (1996)
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)
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(2), 55–66 (2001)
Choi, S.M., Lee, Y.K., Kim, M.H.: Quantitative Analysis and Visualization of the Endocar-dial and Epicardial Walls Using Gated SPECT Images. In: Proceedings of SPIE.s International Symposium on Medical Imaging, San Diego, California, USA, pp. 427–435 (2001)
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 Vol-ume and Ejection Fraction Using a Mathematical Cardiac Torso Phantom. Journal of Nuclear Medicine 38(10), 1528–1535 (1997)
Segars, W.P., Lalush, D.S., Tsui, B.M.W.: A realistic spline-based dynamic heart phantom. IEEE Transactions on Nuclear Science 46(3), 503–506 (1999)
Oellien, F., Ihlenfeldt, W.D.: Multi-Variate Interactive Visualization of Data from Digital Laboratory Notebooks. In: ECDL WS Generalized Documents, pp. 1–4 (2001)
Chuah, M., Eick, S.G.: Information Rich Glyphs for Software Management Data. IEEE Computer Graphics and Applications, 24–29 (July/August 1998)
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© 2003 Springer-Verlag Berlin Heidelberg
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Choi, SM., Lee, DS., Yoo, SJ., Kim, MH. (2003). Interactive Visualization of Diagnostic Data from Cardiac Images Using 3D Glyphs. In: Perner, P., Brause, R., Holzhütter, HG. (eds) Medical Data Analysis. ISMDA 2003. Lecture Notes in Computer Science, vol 2868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39619-2_11
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DOI: https://doi.org/10.1007/978-3-540-39619-2_11
Publisher Name: Springer, Berlin, Heidelberg
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