• DocumentCode
    2572792
  • Title

    Spatial redistribution of perfusion and gas exchange in patient-specific models of pulmonary embolism

  • Author

    Tawhai, M.H. ; Clark, A.R. ; Wilsher, M.L. ; Milne, D.G. ; Subramaniam, K. ; Burrowes, K.S.

  • Author_Institution
    Auckland Bioeng. Inst., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    1365
  • Lastpage
    1368
  • Abstract
    The most common cause of acute pulmonary hypertension is pulmonary embolism (PE). Classification of PE severity can be based on obstruction indices that are estimated from clinical imaging, however, as patients with apparently similar levels of obstruction can have quite different clinical outcomes, obstruction indices currently have limited use clinically. Embolus size and location affects patient response, as well as the existance of prior pulmonary disease, but neither of these factors is accounted for in current obstruction indices. To fully assess the importance of embolus size and location, patient-specific models of the functional response to PE must be matched to individual clinical outcomes. Here we describe the use of patient-specific imaging-based models of PE to provide insight into the mechanisms that are important in determining PE severity, and to correlate pathology with (dys)function.
  • Keywords
    computerised tomography; diagnostic radiography; diseases; lung; medical image processing; acute pulmonary hypertension; clinical imaging; gas exchange; patient-specific imaging-based models; pulmonary disease; pulmonary embolism; spatial redistribution; Arteries; Atmospheric modeling; Biological system modeling; Biomedical imaging; Image segmentation; Lungs; Biological system modeling; Biomedical image processing; Medical diagnosis;
  • 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.2012.6235821
  • Filename
    6235821