• DocumentCode
    1131099
  • Title

    Analysis of vasculature for liver surgical planning

  • Author

    Selle, Dirk ; Preim, Bernhard ; Schenk, Andrea ; Peitgen, Heinz-Otto

  • Author_Institution
    MeVis-Center for Med. Diagnostic Syst. & Visualization, Univ. of Bremen, Germany
  • Volume
    21
  • Issue
    11
  • fYear
    2002
  • Firstpage
    1344
  • Lastpage
    1357
  • Abstract
    For liver surgical planning, the structure and morphology of the hepatic vessels and their relationship to tumors are of major interest. To achieve a fast and robust assistance with optimal quantitative and visual information, we present methods for a geometrical and structural analysis of vessel systems. Starting from the raw image data a sequence of image processing steps has to be carried out until a three-dimensional representation of the relevant anatomic and pathologic structures is generated. Based on computed tomography (CT) scans, the following steps are performed. 1) The volume data is preprocessed and the vessels are segmented. 2) The skeleton of the vessels is determined and transformed into a graph enabling a geometrical and structural shape analysis. Using this information the different intrahepatic vessel systems are identified automatically. 3) Based on the structural analysis of the branches of the portal vein, their vascular territories are approximated with different methods. These methods are compared and validated anatomically by means of corrosion casts of human livers. 4) Vessels are visualized with graphics primitives fitted to the skeleton to provide smooth visualizations without aliasing artifacts. The image analysis techniques have been evaluated in the clinical environment and have been used in more than 170 cases so far to plan interventions and transplantations.
  • Keywords
    blood vessels; computerised tomography; feature extraction; image segmentation; liver; medical image processing; surgery; aliasing artifacts; clinical environment; computed tomography scans; corrosion casts; hepatic vessels; human livers; image analysis techniques; image processing steps sequence; optimal quantitative information; structural shape analysis; transplantations; vascular territories; volume data preprocessing; Computed tomography; Image processing; Image segmentation; Information analysis; Liver neoplasms; Morphology; Robustness; Skeleton; Surgery; Visualization; Algorithms; Angiography; Bile Ducts, Intrahepatic; Cadaver; Hepatic Artery; Hepatic Veins; Humans; Imaging, Three-Dimensional; Liver; Liver Neoplasms; Liver Transplantation; Pattern Recognition, Automated; Phantoms, Imaging; Portal Vein; Preoperative Care; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Surgery, Computer-Assisted; Tomography, X-Ray Computed; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2002.801166
  • Filename
    1175083