Abstract
A novel approach to automated segmentation of X-ray Left Ventricu-lar (LV) angiograms is proposed, based on Active Appearance Models (AAMs) and dynamic programming (DP). Due to combined modeling of the end-diastolic (ED) and end-systolic (ES) phase, existing correlations in shape and texture representation are exploited, resulting in a better segmentation in the ES phase. The intrinsic over-constraining by the model is compensated by a DP algorithm, in which also cardiac contraction motion features are incorporated. An elaborate evaluation of the algorithm, based on 70 paired ED-ES images, shows success rates of 100% for ED and 99% for ES, with average border positioning errors of 0.68 mm and 1.45 mm respectively. Calculated volumes were accurate and unbiased, proving the high clinical potential of our method.
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References
Sandler, H., Dodge, H.T.: The Use of Single Plane Angiocardiograms for the Calculation of Left Ventricular Volume in Man. American Heart Journal 75(3), 325–334 (1968)
Oost, C.R., Lelieveldt, B.P.F., Üzümcü, M., Lamb, H., Reiber, J.H.C., Sonka, M.: Multi-view Active Appearance Models: Application to X-Ray LV Angiography and Cardiac MRI. In: Taylor, C.J., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 234–245. Springer, Heidelberg (2003)
Oost, E., Lelieveldt, B.P.F., Koning, G., Sonka, M., Reiber, J.H.C.: Left Ventricle Contour Detection in X-ray Angiograms using Multi-View Active Appearance Models. In: Proceedings SPIE Medical Imaging, vol. 5032, pp. 394–404 (2003)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active Appearance Models. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 484–498. Springer, Heidelberg (1998)
Cootes, T.F., Taylor, C.J.: Statistical Models of Appearance for Computer Vision (2004), online available at http://www.isbe.man.ac.uk/~bim/Models/app_models.pdf
Cootes, T.F., Cooper, D., Taylor, C.J., Graham, J.: Active Shape Models - Their Training and Application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Stegmann, M.B.: Generative Interpretation of Medical Images, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, p. 248 (2004)
Cootes, T.F., Kittipanya-ngam, P.: Comparing Variations on the Active Appearance Model Algorithm. In: Proceedings British Machine Vision Conference, vol. 2, pp. 837–846 (2002)
Reiber, J.H.C., Schiemanck, L.R., van der Zwet, P.M.J., Goedhart, B., Koning, G., Lammertsma, M., Danse, M., Gerbrands, J.J., Schalij, M.J., Bruschke, A.V.G.: State of the Art in Quantitative Coronary Arteriography as of 1996. In: Reiber, J.H.C., van der Wall, E.E. (eds.) Cardiovascular Imaging, pp. 39–56. Kluwer Academic Publishers, Dordrecht (1996)
Suzuki, K., Horiba, I., Sugie, N., Nanki, M.: Extraction of Left Ventricular Contours from Left Ventriculograms by means of a Neural Edge Detector. IEEE Transactions on Medical Imaging 23(3), 330–339 (2004)
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Oost, E., Koning, G., Sonka, M., Reiber, J.H.C., Lelieveldt, B.P.F. (2005). Automated Segmentation of X-ray Left Ventricular Angiograms Using Multi-View Active Appearance Models and Dynamic Programming. In: Frangi, A.F., Radeva, P.I., Santos, A., Hernandez, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2005. Lecture Notes in Computer Science, vol 3504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494621_3
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DOI: https://doi.org/10.1007/11494621_3
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