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Tytuł artykułu

Level set based automatic segmentation of ultrasound echocardiographic images

Identyfikatory
Warianty tytułu
PL
Automatyczna segmentacja echokardiogramów wykorzystująca metodę zbiorów poziomicowych
Języki publikacji
EN
Abstrakty
EN
In the paper novel application of the level set method to heart segmentation in ultrasound echocardiography is addressed. In the presented approach region of interest of the ultrasound image is calculated by means of Hough transform and speckle noise is reduced by anisotropic diffusion filter. The method is initially validated on USG like simulated noisy images. In article segmentation results for real echocardiograpic images are also shown.
PL
W artykule zaprezentowano nowe zastosowanie metody zbiorów poziomicowych do segmentacji danych echokardiograficznych. W proponowanym podejściu przedstawiono sposób wyznaczenia obszaru zainteresowań w obrazach ultrasonograficznych bazujące na transformacji Hough'a oraz redukcję zakłóceń wykorzystującą anizotropowe filtry dyfuzyjne. Metoda została wstępnie sprawdzona na modelu wraz symulacją zakłóceń. Przedstawiono wyniki segmentacji dla rzeczywistych obrazów echokardiograficznych.
Rocznik
Strony
80--83
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
autor
  • Akademia Górniczo-Hutnicza w Krakowie, Katedra Metrologii
Bibliografia
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  • [4] Ledesma-Carbayo M. J. et al: Spatio-Temporal Nonrigid Registration for Ultrasound Cardiac Motion Estimation. IEEE Trans. on Medical Imaging, vol. 24, no. 9, pp. 1113-1126, 2005.
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  • [8] Zhuang L., Liu H., Bao H., Shi P.: Volumetric Meshfree Framework for Joint Segmentation and Motion Tracking of the Left Ventricle. Proc. ISBI-2007, pp. 396-399, 2007.
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  • [13] Ayed L. B., Li S., Ross L.: Embedding Overlaps Priors in Variational Left Ventricle Tracking. IEEE Trans, on Medical Imaging, accepted, pp. 1-12, 2009.
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  • [15] Yu Y., Acton S. T.: Speckle Reducing Anisotropic Diffusion. IEEE Trans. on Image Processing, vol. 11, no. 11, 1260-1270, 2002.
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  • [17] Lee J.: Digital image enhancement and noise filtering using local statistics. IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-2, no. 2, pp. 165-168, Feb. 1980.
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  • [22] Turcza P.: Nonlinear image filters in detection of common carotid artery intima-media thickness. Symposium Modelling and Measurements in Medicine MPM-2009, Krynica Górska, 2009 (in Polish).
  • [23] Jabłoński B.: Image and trajectories filtration based on partial differential equation. EXIT, Warsaw, 2008 (in Polish).
  • [24] Li C., Xu C., Fox G. C.: Level Set Evolution Without Reinitialization: A New Variational Formulation. IEEE CVPR, pp. 430-136, 2005
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA9-0036-0017
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