• DocumentCode
    1445674
  • Title

    Phantom Model of Physiologic Intracranial Pressure and Cerebrospinal Fluid Dynamics

  • Author

    Bottan, Simone ; Poulikakos, Dimos ; Kurtcuoglu, Vartan

  • Author_Institution
    Dept. of Mech. & Process Eng., ETH Zurich, Zurich, Switzerland
  • Volume
    59
  • Issue
    6
  • fYear
    2012
  • fDate
    6/1/2012 12:00:00 AM
  • Firstpage
    1532
  • Lastpage
    1538
  • Abstract
    We describe herein a novel life-size phantom model of the intracranial cavity and its validation. The cerebrospinal fluid (CSF) domains including ventricular, cysternal, and subarachnoid spaces were derived via magnetic resonance imaging. Brain mechanical properties and cranio-spinal compliance were set based on published data. Both bulk and pulsatile physiologic CSF flow were modeled. Model validation was carried out by comparisons of flow and pressure measurements in the phantom with published in vivo data of healthy subjects. Physiologic intracranial pressure with 10 mmHg mean and 0.4 mmHg peak pulse amplitude was recorded in the ventricles. Peak CSF flow rates of 0.2 and 2 ml/s were measured in the cerebral aqueduct and subarachnoid space, respectively. The phantom constitutes a first-of-its-kind approach to modeling physiologic intracranial dynamics in vitro. Herein, we describe the phantom design and manufacturing, definition and implementation of its operating parameters, as well as the validation of the modeled dynamics.
  • Keywords
    biological fluid dynamics; biomedical MRI; brain; flow measurement; neurophysiology; phantoms; physiological models; pressure measurement; pulsatile flow; brain mechanical properties; bulk physiologic CSF flow; cerebral aqueduct; cerebrospinal fluid; cerebrospinal fluid dynamics; cranio-spinal compliance; cysternal space; flow measurements; intracranial cavity; magnetic resonance imaging; phantom model; physiologic intracranial pressure; pressure measurements; pulsatile physiologic CSF flow; subarachnoid space; ventricular space; Biomedical monitoring; Brain modeling; Cranial; In vivo; Iterative closest point algorithm; Phantoms; Synthetic aperture sonar; Anatomical model; compliance; subarachnoid space (SAS); ventricular system; Biomimetic Materials; Brain; Cerebrospinal Fluid; Equipment Design; Equipment Failure Analysis; Humans; Intracranial Pressure; Magnetic Resonance Imaging; Phantoms, Imaging;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2012.2187448
  • Filename
    6151064