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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-PWA4-0008-0007

Czasopismo

Journal of Medical Informatics & Technologies

Tytuł artykułu

3D visualization of segmented cruciate ligaments

Autorzy Badura, P. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN A fuzzy approach to segmentation of the cruciate ligaments of the knee joint and a three dimensional visualisation method are presented in this paper. The cruciate ligaments are the major stabilizers of the knee. The ligaments injuries are common nowadays and a correct diagnostics, preceding the surgical therapy is a very important task. Segmentation of the ligaments is difficult due to a poor visibility of edges in some cases of injuries and their appearance on a small number of slides at Magnetic Resonance Imaging (MRI). The method described here is based on fuzzy connectedness principles. It creates a fuzzy connectivity scene by assigning a strength of connectedness to each possible path between some predefined seed point and any other image element. Then such scene is thresholded to produce final segmentation result. The conventional fuzzy connectedness method with Dijkstra algorithm for creating the fuzzy connectivity scene has been implemented in a 3D space. The object, being the result of segmentation process, is visualised in the Visualisation Toolkit (VTK) environment. The method has been tested on a set of images. An example of its performance is shown along with some plans for future research.
Słowa kluczowe
PL więzadło krzyżowe   segmentacja   powiązania rozmyte   wizualizacja 3D  
EN cruciate ligament   segmentation   fuzzy connectedness   3D visualization  
Wydawca University of Silesia, Institute of Informatics, Computer Systems Department
Czasopismo Journal of Medical Informatics & Technologies
Rocznik 2006
Tom Vol. 10
Strony 73--79
Opis fizyczny Bibliogr. 9 poz., fig.
Twórcy
autor Badura, P.
  • Silesian University of Technology, Institute of Electronics, 44-100 Gliwice, ul. Akademicka 16
Bibliografia
[1] CARVALHO B., GAU C., HERMAN G., KONG T., Algorithms for Fuzzy Segmentation, Pattern Analysis & Applications, 2:73-81, 1999.
[2] CISZKOWSKA-ŁYSOŃ B.: Anatomia więzadeł krzyżowych w badaniu rezonansu magnetycznego, Acta Clinica, t. I, nr 4, ss. 321-330, 2001.
[3] CZYRNY Z.: Diagnostyka uszkodzeń więzadeł krzyżowych w badaniu rezonansu magnetycznego, Acta Clinica, t. I, nr 4, ss.331-339, 2001.
[4] DIJKSTRA E.: A Note on Two Problems in Connection with Graphs, Num. Math., vol. 1, pp. 269-271, 1959.
[5] HALL-GRAGGS E.: Anatomy as a Basis for Clinical Medicine, William & Wilkins, 1995.
[6] SAHA P., UDUPA J., ODHNER D.: Scale-Based Fuzzy Connectedness Image Segmentation: Theory, Algorithms and Validation, Comput. Vision Image Understanding, vol. 77, pp. 145-174, 2000.
[7] SCHROEDER W., MARTIN K., LORENSEN W.: The Design and Implementation of an Object-Oriented Toolkit for 3D Graphics and Visualization, IEEE Visualization ’96, pp. 93-100, 1996.
[8] UDUPA J, SAHA P., Fuzzy Connectedness and Image Segmentation, Proceedings of the IEEE 91(10), pp. 1649-1669, 2003.
[9] UDUPA J., SAMARASEKERA S.: Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation, Graphical Models and Image Processing, vol. 58, pp. 246-261, 1996.
Kolekcja BazTech
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