RECONSTRUCT10N AND NAVIGATION OF CYLINDRICAL OBJECTS FROM MEDICAL IMAGES

  • Park, Yoo-Joo (Dept, of Computer Science and Engineering, Ewha Womans University) ;
  • Kim, Myoung-Hee (Dept, of Computer Science and Engineering, Ewha Womans University) ;
  • Min, Kyung-Ha (Dept. of Media Technology Graduate School of Media Communications, Sogang Uni.)
  • Published : 2001.10.01

Abstract

This paper proposes a new contour detection method and adaptive reconstruction scheme for the cylindrical organs, such as blood vessels or arteries. Furthermore, we present java-based navigation controller which has been built to examine the inside of cylindrical objects. Tn the preprocessing procedure, a few preprocessing image filters are applied in order to remove unwanted artifacts from the medical images and to estimate threshold values for the object of interest. We define a context-free grammar, which is proper fur properties of contours of cylindrical objects. In the next procedure, we extract contours using advanced radial gradient method and represent contours as context-free grammar derivation trees. We build polygons between two contours efficiently by traversing the derivations trees of the contours. We fly through the reconstructed virtual models using java-based navigation controller and VRML viewer.

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