• DocumentCode
    746309
  • Title

    Pulsatile cerebrospinal fluid dynamics in the human brain

  • Author

    Linninger, Andreas A. ; Tsakiris, Cristian ; Zhu, David C. ; Xenos, Michalis ; Roycewicz, Peter ; Danziger, Zachary ; Penn, Richard

  • Author_Institution
    Dept. of Chem. Eng., Univ. of Illinois, Chicago, IL, USA
  • Volume
    52
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    557
  • Lastpage
    565
  • Abstract
    Disturbances of the cerebrospinal fluid (CSF) flow in the brain can lead to hydrocephalus, a condition affecting thousands of people annually in the US. Considerable controversy exists about fluid and pressure dynamics, and about how the brain responds to changes in flow patterns and compression in hydrocephalus. This paper presents a new model based on the first principles of fluid mechanics. This model of fluid-structure interactions predicts flows and pressures throughout the brain´s ventricular pathways consistent with both animal intracranial pressure (ICP) measurements and human CINE phase-contrast magnetic resonance imaging data. The computations provide approximations of the tissue deformations of the brain parenchyma. The model also quantifies the pulsatile CSF motion including flow reversal in the aqueduct as well as the changes in ICPs due to brain tissue compression. It does not require the existence of large transmural pressure differences as the force for ventricular expansion. Finally, the new model gives an explanation of communicating hydrocephalus and the phenomenon of asymmetric hydrocephalus.
  • Keywords
    biological fluid dynamics; biological tissues; brain; deformation; physiological models; pulsatile flow; animal intracranial pressure; brain parenchyma; brain tissue compression; flow reversal; fluid mechanics; fluid-structure interactions; human CINE phase-contrast magnetic resonance imaging; human brain; hydrocephalus; pulsatile cerebrospinal fluid dynamics; tissue deformations; ventricular expansion; Animals; Anthropometry; Brain modeling; Cranial pressure; Fluid dynamics; Humans; Magnetic resonance imaging; Phase measurement; Predictive models; Pressure measurement; CSF flow; fluid-structure interactions; hydrocephalus; intracranial pressure; tissue compliance; Brain; Cerebral Ventricles; Cerebrospinal Fluid; Computer Simulation; Humans; Intracranial Pressure; Models, Biological; Pulsatile Flow; Rheology;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2005.844021
  • Filename
    1408112