• DocumentCode
    2428169
  • Title

    Region-based geometric modeling of human airways and arterial vessels

  • Author

    Ding, Songlin ; Ye, Yong ; Tu, Jiyuan ; Subic, Aleks

  • Author_Institution
    Sch. of Aerosp. Mech. & Manuf. Eng., RMIT Univ., Melbourne, VIC
  • fYear
    2008
  • fDate
    7-9 July 2008
  • Firstpage
    541
  • Lastpage
    545
  • Abstract
    Accurate geometric models of human airways and arterial vessels play a critical role in the analysis of air and blood flows in human bodies. The generic geometric modeling methods become invalid when the model consists of bronchioles and very small vessels. This paper presents a new region-based method to reconstruct the airway tree and arterial vessels from point clouds obtained from CT or MR images. A novel layer-by-layer searching algorithm is developed to identify the bifurcation points and branches in the airway tree. The surface patches on each branch are constructed according to the number of points on the branch other than by applying a single tolerance for the entire reconstruction process regardless of the number of elemental points. The distortion problem occurred at small bronchus and vessels are thus solved.
  • Keywords
    biology computing; biomedical MRI; computerised tomography; medical image processing; CT images; MR images; air flows; airway tree reconstruction; arterial vessels; bifurcation points; blood flows; bronchioles; human airways; layer-by-layer searching algorithm; region-based geometric modeling; surface patches; Blood flow; Clouds; Computational fluid dynamics; Computed tomography; Geometry; Humans; Image reconstruction; Solid modeling; Surface morphology; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1723-0
  • Electronic_ISBN
    978-1-4244-1724-7
  • Type

    conf

  • DOI
    10.1109/ICALIP.2008.4590289
  • Filename
    4590289