Abstract
In this work we propose a new method for ultrasound imaging segmentation in objective to help doctors and specialists to interpret anatomical structure. The proposed method is based on fuzzy fusion theory in objective to extract the venous thrombosis contour in ultrasound images acquired in vivo case. The first obtained results by optimization algorithm, adapted to our particular problem case are presented.
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References
Bressollette, L., Guias, B., Pineau, P., Oger, E., Morin, V., et al.: Three-dimensional reconstruction calibrated with ultrasonographic images. Application to the measurement of clot volume in vitro. J. Mal. Vasc. 26(2), 92–96 (2001)
Debon, R., Solaiman, B., Cauvin, J.M., Roux, C.: Aorta detection on endosonographic image sequence by a Hough transform based architecture. In: Proc. Conf. IEEE Eng. Med. Biol. Soc. (1999)
Dhibi, M., Puentes, J., Clmence, P., Bressolette, L., Guias, B., Solaiman, B.: Venous thrombosis contour detection in ultrasound image using the snake method. In: Proc. Conf. IEEE SETIT, pp. 43–46 (2005)
Dhibi, M., Solaiman, B., Bressolette, L.: Ellipse fitting for venous thrombosis contour detection in ultrasound imaging. In: Proc. Conf. SPIE. Medical Imaging (2007)
Dhibi, M., Puentes, J., Bressollette, L., Guias, B., Solaiman, S.: Volume Calculation of Venous Thrombosis Using 2D Ultrasound Images. In: Conf. Proc. IEEE Eng. Med. Biol. Soc., pp. 4002–4005 (2005)
Landry, A., Spence, J.D., Fenster, A.: Measurement of carotid plaque volume by 3-dimensional ultrasound. Stroke 35, 864–869 (2004)
Salvador, A., Maingourd, Y., Fu, S.: Optimisation of an Edge Detection Algorithm for Echocardiographic Images. In: Proc. IEEE Eng. Med. Biol. Soc., pp. 1188–1191 (2003)
Rabhi, A., Adel, M., Bourennane, S.: Segmentation of ultrasound images using geodesic active contours. Ultrasound in Med. Bio. 27(1), 8–18 (2006)
Ravhon, R., Adam, D., Zelmanovitch, L.: Validation of ultrasonic image boundary recognition in abdominal aortic aneurysm. IEEE Trans. Med. Imaging 20(8), 751–763 (2001)
Shankar, P.M., Forsberg, F., Lown, L.: Statistical modelling of atherosclerotic plaque in carotid B mod images- A feasibility study. Ultrasound in Med. Biol. 29(9), 1305–1309 (2003)
Solaiman, B., Debon, R., Roux, C.: Information fusion: application to data and model fusion for ultrasound image segmentation. Special Issue of IEEE-Trans. on Biom. Eng. 4(10), 1171–1175 (1999)
Weickert, J.: Anisotropic diffusion in image processing, Ph.D. thesis, Dept. of Mathematics, University of Kaiserslautern (January 1996)
Wilhjelm, J.E., et al.: Quantitative analysis of ultrasound B-mode images of carotid atherosclerotic plaque: Correlation with visual classification and histological examination. IEEE. Trans. Med. Imag. 17(6), 910–922 (1998)
Zadeh, L.A.: Fuzzy sets. Inform. Contr. 8, 338–353 (1965)
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© 2008 Springer-Verlag Berlin Heidelberg
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Dhibi, M., Debon, R. (2008). Segmentation of Ultrasound Imaging by Fuzzy Fusion: Application to Venous Thrombosis. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_73
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DOI: https://doi.org/10.1007/978-3-540-69731-2_73
Publisher Name: Springer, Berlin, Heidelberg
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