• DocumentCode
    2720508
  • Title

    Neck localization and geometry quantification of intracranial aneurysms

  • Author

    Sgouritsa, E. ; Mohamed, A. ; Morsi, H. ; Shaltoni, H. ; Mawad, M.E. ; Kakadiaris, I.A.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Houston, Houston, TX, USA
  • fYear
    2010
  • fDate
    14-17 April 2010
  • Firstpage
    1057
  • Lastpage
    1060
  • Abstract
    We present an approach for accurate localization of the neck of intracranial aneurysms and quantification of their geometry that is useful for their treatment through endovascular embolization. In particular, we first obtain a vessel segmentation using a topology-preserving level set method and extract the surface of the segmented vessel. We then separate the aneurysm from the parent vessels and localize its neck by formulating the aneurysm segmentation problem as an s-t minimum cut problem. Finally, we estimate clinically relevant geometric parameters of the aneurysm. The results indicate that there is good agreement between the measurements obtained by the proposed approach and two independent manual sets of measurements obtained by two experienced interventional neuroradiologists.
  • Keywords
    biomedical MRI; biomedical measurement; blood vessels; brain; feature extraction; image segmentation; medical disorders; medical image processing; neurophysiology; endovascular embolization; geometry quantification; intracranial aneurysms; neck localization; s-t minimum cut problem; surface extraction; topology-preserving level set method; vessel segmentation; Aneurysm; Arteries; Biomedical measurements; Computational geometry; Costs; Embolization; Image segmentation; Level set; Neck; Solid modeling; Angiography; endovascular embolization; intracranial aneurysm; neck localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
  • Conference_Location
    Rotterdam
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4125-9
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2010.5490172
  • Filename
    5490172