• DocumentCode
    3037354
  • Title

    Fuzzy representative line tracking algorithm for enhancing 3-D MR cholangiography images

  • Author

    Kobashi, Syoji ; Kondo, Katsuya ; Hata, Yutaka

  • Author_Institution
    Div. of Comput. Eng., Himeji Inst. of Technol., Japan
  • fYear
    2003
  • fDate
    20-22 Oct. 2003
  • Firstpage
    134
  • Lastpage
    135
  • Abstract
    This study introduces a novel method for enhancing MR cholangiography (MR-C) images based on representative line finding algorithm. The method enhances the images using the representative line (RL) of the pancreatic duct. The RL is tracked by finding the most suitable direction that is decided by means of fuzzy inference techniques. The tracking performance was evaluated by computer simulation, and by applying our method to MR-C images of tube-formed phantoms. The results showed that the proposed method could correctly find the RL of the objects. The diameters of the tube-formed phantoms were estimated with high accuracy. Then, the proposed method was applied to enhance MR-C images of four normal volunteers and one patient. In all cases, the pancreatic duct was enhanced clearly.
  • Keywords
    biological organs; biomedical MRI; fuzzy logic; image enhancement; inference mechanisms; medical image processing; phantoms; tracking; 3-D MR cholangiography images; computer simulation; fuzzy algorithm; fuzzy inference techniques; pancreatic duct; representative line tracking algorithm; tracking performance; tube-formed phantoms; Active shape model; Biomedical imaging; Diseases; Ducts; Image segmentation; Imaging phantoms; Magnetic resonance imaging; Pancreas; Plastics; Shape control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on
  • Print_ISBN
    0-7803-7943-8
  • Type

    conf

  • DOI
    10.1109/APBME.2003.1302620
  • Filename
    1302620