• DocumentCode
    1136491
  • Title

    Automatic centerline extraction for virtual colonoscopy

  • Author

    Wan, Ming ; Liang, Zhengrong ; Ke, Qi ; Hong, Lichan ; Bitter, Ingmar ; Kaufman, Arie

  • Author_Institution
    Boeing Co., Seattle, WA, USA
  • Volume
    21
  • Issue
    12
  • fYear
    2002
  • Firstpage
    1450
  • Lastpage
    1460
  • Abstract
    In this paper, we introduce a concise and concrete definition of an accurate colon centerline and provide an efficient automatic means to extract the centerline and its associated branches (caused by a forceful touching of colon and small bowel or a deep fold in twisted colon lumen). We further discuss its applications on fly-through path planning and endoscopic simulation, as well as its potential to solve the challenging touching and colon collapse problems in virtual colonoscopy. Experimental results demonstrated its centeredness, robustness, and efficiency.
  • Keywords
    biological organs; computerised tomography; feature extraction; medical image processing; virtual reality; automatic centerline extraction; colon collapse problems; distance mapping; endoscopic simulation; flight-path planning; fly-through path planning; forceful touching; medical diagnostic imaging; patient´s abdomen; small bowel; spiral computed tomography scan; twisted colon lumen; virtual colonoscopy; Abdomen; Cancer; Colon; Colonography; Computed tomography; Computer science; Endoscopes; Navigation; Path planning; Virtual colonoscopy; Algorithms; Anatomy, Cross-Sectional; Colon; Colonography, Computed Tomographic; Databases, Factual; Humans; Imaging, Three-Dimensional; Pattern Recognition, Automated; Quality Control; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, Spiral Computed;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2002.806409
  • Filename
    1176632