Abstract
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification strategy for selecting points on the structure. Whatever the set of descriptors used, the selection stage suffers from fake responses due to noise and uncompleted true curves. In order to smooth background noise while strengthening responses, we apply a restricted anisotropic filter that homogenizes grey levels along the image significant structures. Candidate points are extracted by means of a simple semi supervised adaptive classification of the filtered image response to edge and calcium detectors. The final model is obtained by interpolating the former line segments with an anisotropic contour closing technique based on functional extension principles.
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References
McInerney, T., Terzopoulos, D.: Deformable models in medical images analyis: a survey. Medical Image Analysis 1, 91–108 (1996)
Zhang, X., Sonka, M.: Tissue characterization in intravascular ultrasound images. IEEE Trans. on Medical Imaging 17, 889–899 (1998)
Pujol, O., Radeva, P.: Supervised Texture classification for Intravascular Tisue Characterization. In: Handbook of Medical Imaging. Kluwer Academic/Plenum Pub., Dordrecht (2004)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active Contour Models. Int. Journal of Computer Vision 1, 321–331 (1987)
Caselles, V., Kimmel, R., Sapiro, G.: Geodesic Active Contours. Int. J. Comp. Vision 22(1), 61–79 (1997)
Klingensmith, J.D., Shekhar, R., Vince, D.G.: Evaluation of three-dimensional segmentation algorithms for the identification of luminal and Medial-adventitial borders in intravascular ultrasound. IEEE Trans. on Med. Imag. 19(10), 996–1011 (2000)
von Birgelen, C., de Vrey, E.A., Mintz, G.S., Nicosia, A., Bruining, N., Li, W., Slager, C.J., Roelandt, J.R.T.C., Serruys, P.W., de Feyter, P.J.: ECG-gated three-dimensional intravascular ultrasound: Feasibility and reproducibility of the automated analysis of coronary lumen and atherosclerotic plaque dimensions in humans. Circulation 96, 2944–2952 (1997)
Gil, D., Radeva, P.: Extending Anisotropic Operators to Recover Smooth Shapes. Comp. Vis. Imag. Unders. (in press)
Gil, D.: Geometric Differential Operators for Shape Modelling. PhD Tesis, Universitat Autonoma de Barcelona (2004), available at http://www.cvc.uab.es/~debora/
Hernandez, A., Gil, D., Radeva, P., Nofrerias, E.: Anisotropic Processing of Image Structures for Adventitia Detection in IVUS Images. In: Proc. CiC (2004)
Weickert, J.: A Review of Nonlinear Diffusion Filtering. In: ter Haar Romeny, B.M., Florack, L.M.J., Viergever, M.A. (eds.) Scale-Space 1997. LNCS, vol. 1252, pp. 3–28. Springer, Heidelberg (1997)
Jähne, B.: Spatio-Temporal Image Processing. LNCS, vol. 751. Springer, Heidelberg (1993)
Duda, R., Hart, P.: Pattern Classification. Wiley-Interscience, Hoboken (2001)
Paragios, N., Deriche, R.: Geodesic Active Contours for Supervised Texture Segmentation. In: Proc. of Comp. Vis. and Pat. Rec., vol. 2, pp. 422–427 (1999)
Evans, L.C.: Partial Differential Equations, Berkeley Math. Lect. Notes (1993)
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Gil, D., Hernandez, A., Carol, A., Rodriguez, O., Radeva, P. (2005). A Deterministic-Statistic Adventitia Detection in IVUS Images. 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_7
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DOI: https://doi.org/10.1007/11494621_7
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