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Heart motion visualization tools for 4D echocadiographic images

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Qualitative and quantitative description of the heart wall motion is a very important field of investigation in modern cardiology. Abnormalities in heart motion are usually symptoms of life threatening cardiac dysfunctions therefore measurements of dynamic heart functions are of great clinical importance. The images of moving spatial heart structures can be efficiently acquired using 4D echocardiography. Unfortunately because of the low quality such images do not allow for precise measurements. To overcome this problem images need to be further processed and moving structures have to be extracted. In this work we present a method for estimating heart motion from 3D echocardiographic image sequence. On the basis of this method we have developed several visualization techniques that enable qualitative assessments of heart motions abnormalities. Together with quantitative measurements they may be become a useful tools in daily clinical practice.
Rocznik
Tom
Strony
177--184
Opis fizyczny
Bibliogr. 8 poz., rys.
Twórcy
autor
  • Faculty of Mathematics and Computer Science. N. Copernicus University, Chopina 12/18, 87-100 Toruń, Poland
autor
autor
autor
Bibliografia
  • [1] CHLEBIEJ M., MIKOŁAJCZAK P., NOWIŃSKI K., ŚCISŁO P., BAŁA P., Generation of dynamic heart model based on 4D echocardiographic images, LNCS, ICCSA 2006, Springer-Verlag Berlin Heidelberg, Vol. 5, pp. 394 – 403, Glasgow, UK, 2006.
  • [2] MONTGANT J., DELINGETTE H., Space and time shape constrained deformable surfaces for 4D medical image segmentation., Medical Image Computing And Computed Assisted Intervention, LNCS, Springer Pittsburgh, Vol. 1935, pp. 196-205, 2000.
  • [3] PAPADEMETRIS X., SINUAS A., DIONE D., DUNCAN J., Estimation on 3D left ventricular deformation from echocardiography., Medical Image Anal., 5(1), pp.17-28, 2001.
  • [4] PERONA P., MALIK J., Scale-space and edge detection using anisotropic diffusion, IEEE Trans. On Pattern Anal. and Mach. Intell., Vol.12, No. 7, pp. 629-639, 1990.
  • [5] SEDERBERG T., PARRY S., Free form deformation of solid geometric models, Computer Graphics, Vol. 20, No.4, pp. 151-160, 1986.
  • [6] SHANNON C.E., A mathematical theory of communication, Bell System Technical Journal, Vol. 27, pp. 2790423 and 623-656, July and October 1948.
  • [7] HUANG X., METAXAS D., CHEN T., MetaMorphs: Deformable shape and texture models, IEEE Comp. Vision and Patt. Recog.., Washington, D.C., June, 2004.
  • [8] MONGA O., DERICHE R., MALANDAIN G., COCQUEREZ J.P., Recursive filtering and edge tracking: two primary tools for 3D edge detection, Image and Vision Computing, Vol. 9 (4), pp. 203-214, August, 1991.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0007-0018
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