• DocumentCode
    961245
  • Title

    On Geometric Modeling of the Human Intracranial Venous System

  • Author

    Volkau, Ihar ; Ng, Ting Ting ; Marchenko, Yevgen ; Nowinski, Wieslaw L.

  • Author_Institution
    Biomed. Imaging Lab., Agency for Sci., Technol. & Res., Singapore
  • Volume
    27
  • Issue
    6
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    745
  • Lastpage
    751
  • Abstract
    We describe a process aiming to construct a 3-D geometric model of the human normal intracranial venous system from MRA data. An analysis of geometric properties of the intracranial veins and sinuses results in proposing three models: circular, elliptic, and free-shape. We formulate a rule based on which a suitable geometric venous model can be selected. The cross-sectional shape of different parts of dural venous sinuses is found to be better approximated by ellipses and free shapes, while for veins the circular and elliptic models are comparable. An analysis of using splines for radii smoothing is also provided. The approach is useful for building venous models in education and clinical applications.
  • Keywords
    biomedical MRI; biomedical education; blood vessels; brain; image representation; medical image processing; physiological models; smoothing methods; solid modelling; splines (mathematics); 3-D geometric modeling; MRA data; circular models; cross-sectional shape; dural venous sinuses; elliptic models; free-shape models; geometric representation; human intracranial venous system; intracranial sinuses; magnetic resonance angiography; medical education; radii smoothing; splines; Dural venous sinuses; geometric modeling; intracranial veins; Algorithms; Cerebral Angiography; Cerebral Veins; Computer Simulation; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Angiography; Models, Anatomic; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2007.911004
  • Filename
    4374099