• DocumentCode
    2572383
  • Title

    Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans

  • Author

    Zhang, Weidong ; Liu, Jiamin ; Yao, Jianhua ; Nguyen, Tan B. ; Louie, Adeline ; Wank, Stephen ; Nowinski, Wieslaw L. ; Summers, Ronald M.

  • Author_Institution
    Imaging Biomarkers & Comput.-Aided Diagnosis Lab., Nat. Inst. of Health, Bethesda, MD, USA
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    1280
  • Lastpage
    1283
  • Abstract
    Due to the low image contrast and high tortuosity of the small bowel on CT scans, it is difficult for even experienced radiologists to localize small bowel. To facilitate this, we propose a novel mesenteric vasculature-guided method for small bowel region segmentation on high-resolution contrast-enhanced CT angiography (CTA) scans. It is essential and useful for further localizing small bowel tumors. The mesenteric vasculature is first segmented using multi-view multi-scale vesselness enhancement filters on maximum intensity projection images. Second, the small bowel region is automatically segmented based on the map of mesenteric vasculature and its relationship to the small bowel. The method is applied to high-resolution contrast-enhanced abdominal CTA scans of patients suspected of having carcinoid tumors. The result, 79.3% volume overlap accuracy compared with the reference standard, shows it is feasible to segment the small bowel using the mesenteric vasculature as a roadmap on CTA scans.
  • Keywords
    biological organs; computerised tomography; diagnostic radiography; image segmentation; medical image processing; CTA; carcinoid tumors; high resolution 3D CT angiography scans; high resolution contrast enhanced CT angiography; maximum intensity projection images; mesenteric vasculature guided small bowel segmentation; mesenteric vasculature map; multiview multiscale vesselness enhancement filters; small bowel image contrast; small bowel tortuosity; Angiography; Bifurcation; Bones; Computed tomography; Image segmentation; Tumors; maximum intensity projection; small bowel segmentation; vessel segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235796
  • Filename
    6235796