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Study of the influence of removing speckle noise on the segmentation of uterus ultrasonic images based on Active shape contour algorithm

دراسة تأثير استخلاص ضجيج البقع على تجزيء صور الرحم الطبية فوق السمعية باستخدام خوارزمية مخطط الشكل الفعال

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 Publication date 2014
and research's language is العربية
 Created by Shamra Editor




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The study suggests a new approach to segment the ultrasound uterus images to obtain the fetus region. The approach consists of three stages. The first includes the preprocessing in which the speckle noise is removed from the ultrasound images depending on sequential filtering of Gabor filter and median filter. Second, an improved active shape contour independent of edges is applied to segment the uterus images. The last stage is the post processing which depends on the morphological operation to eliminate the undesired region and obtain the region of interest (fetus). The designed system has been tested by means of medical database of ultrasound uterus images downloaded from the ULTRASCAN CENTRE site in Kaloor (India). The experimental tests show that the proposed sequential filtering technique improves the active shape contour algorithm performance significantly, so the system segment the uterus images correctly even in the presence of speckle noise.

References used
BENKESER P. JACKSON J. NICHOLS F. 1995 3d ultrasonic imaging of the structure and elasticity of the carotid bifurcation. Proc. IEEE Ultrasonics Symposium, 1419–1422
BOUMA C. ZUIDERVELD K. VIERGEVER M. A. 1995 Quantitative evaluation of semi-automated segmentation of intravascular ultrasound subtraction images, In Abstracts of the 11th Symposium on Echocardiology
CASELLES, V.; COLL, T.; DIBOS, F., 1993, A geometric model for active contours in image processing, Numerische Mathematik, V.66, 1-31
CASELLES, V. KIMMEL, R. SAPIRO, G., 1997 on geodesic active contours, Journal of Computer Vision, V.22, 61-79
GUSTAVO C. BOGDAN G. SARA G. DORIN C. 2008 Detection of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1-13
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