• DocumentCode
    2804352
  • Title

    An integrative approach to cerebrovascular disease healthcare: IT for cerebral aneurysms

  • Author

    Watton, Paul N. ; Frangi, Alejandro ; Ventikos, Yiannis

  • Author_Institution
    Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    378
  • Lastpage
    381
  • Abstract
    One of the central themes in addressing vascular disease is connected with the behavior of the arterial wall; its response to stimuli, its remodeling, the growth or stabilization of lesions and the interaction with implants and drugs. For the case of cerebral aneurysms, we are presenting an effort to embed computational simulation models capable of handling such processes within an IT framework that combines imaging, modeling, genetics and clinical medicine in an integrative and comprehensive fashion. The @neurIST project aims at the development of an IT-enabled patient risk assessment and guidelines generation environment, capable of optimized decision support and treatment design. Within this framework, we present mechanobiological models of the vascular wall that account for the interaction of heamodynamics with vascular wall fiber and cell population and behavior.
  • Keywords
    blood vessels; brain models; cellular biophysics; diseases; haemodynamics; health care; arterial wall; cell population; cerebral aneurysms; cerebrovascular disease; decision support; healthcare; heamodynamics; mechanobiological models; patient risk assessment; vascular wall fiber; Aneurysm; Arteries; Computational modeling; Diseases; Drugs; Embedded computing; Implants; Lesions; Medical services; Medical simulation; Cerebral aneurysms; growth and remodeling; healthcare; information technology; simulation; vascular disease;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193063
  • Filename
    5193063