• DocumentCode
    1743385
  • Title

    Shape based alignment of 3-D volume slices

  • Author

    Krinidis, Stelios ; Nikolaidis, Nibs ; Pitas, Ioannis

  • Author_Institution
    Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    438
  • Abstract
    This paper presents a method for the accurate and computationally efficient alignment of 2-D slices that form a 3-D volume. Alignment incorporates object shape information and is achieved by evaluating the forces acting upon pairs of slices whose object outline points are connected by a system of springs under tension. Experimental results on medical and synthetic 3-D images prove, the efficiency of the method
  • Keywords
    image segmentation; medical image processing; object recognition; 3D volume slices; medical 3D images; object outline points; object shape information; shape based alignment; springs; synthetic 3D images; Biomedical imaging; Euclidean distance; Geophysics; Image edge detection; Image segmentation; Informatics; Magnetic resonance imaging; Meteorology; Shape; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
  • Conference_Location
    Jounieh
  • Print_ISBN
    0-7803-6542-9
  • Type

    conf

  • DOI
    10.1109/ICECS.2000.911574
  • Filename
    911574