Mathematical modeling of CSF pulsatile hydrodynamics based on fluid-solid interaction

Masoumi, N ; Sharif University of Technology | 2010

1991 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/TBME.2009.2037975
  3. Publisher: 2010
  4. Abstract:
  5. Intracranial pressure (ICP) is derived from cerebral blood pressure and cerebrospinal fluid (CSF) circulatory dynamics and can be affected in the course of many diseases. Computer analysis of the ICP time pattern plays a crucial role in the diagnosis and treatment of those diseases. This study proposes the application of Linninger et al.s [IEEE Trans. Biomed. Eng. , vol. 52, no. 4, pp. 557565, Apr. 2005] fluidsolid interaction model of CSF hydrodynamic in ventricular system based on our clinical data from a group of patients with brain parenchyma tumor. The clinical experiments include the arterial blood pressure (ABP), venous blood pressure, and ICP in the subarachnoid space (SAS). These data were used as inputs to the model that predicts the intracranial dynamic phenomena. In addition, the model has been modified by considering CSF pulsatile production rate as the major factor of CSF motion. The approximations of ventricle enlargement, CSF pressure distribution in the ventricular system and CSF velocity magnitude in the aqueduct and foramina were obtained in this study. The observation of reversal flow in the CSF flow pattern due to brain tissue compression is another finding in our investigation. Based on the experimental results, no existence of large transmural pressure differences were found in the brain system. The measured pressure drop in the ventricular system was less than 5 Pa. Moreover, the CSF flow pattern, ICP distribution, and velocity magnitude were in good agreement with the published models and CINE (phase-contrast magnetic resonance imaging) experiments, respectively
  6. Keywords:
  7. Flow pattern ; Intracranial pressure (ICP) ; Arterial blood pressure ; Brain parenchyma ; Brain systems ; Brain tissue ; Cerebro spinal fluids ; Circulatory dynamics ; Clinical data ; Computer analysis ; First principle law ; First-principles ; Fluid solid interaction ; Intracranial dynamics ; Mathematical modeling ; Phase contrast magnetic resonance imaging ; Production rates ; Reversal flow ; Subarachnoid spaces ; Transmural pressure ; Ventricular systems ; Blood ; Blood pressure ; Brain ; Diagnosis ; Experiments ; Fluid dynamics ; Fluids ; Hydrodynamics ; Magnetic resonance imaging ; Resonance ; Flow patterns ; Arterial pressure ; Brain tumor ; Brain ventricle ; Brain ventricle dilatation ; Case report ; Cerebrospinal fluid flow ; Compression ; Human ; Liquid ; Mathematical model ; Nuclear magnetic resonance imaging ; Process model ; Solid ; Subarachnoid space ; Venous pressure ; Brain Neoplasms ; Cerebral Ventricles ; Cerebrospinal Fluid ; Computer Simulation ; Humans ; Intracranial Pressure ; Models, Neurological ; Pulsatile Flow
  8. Source: IEEE Transactions on Biomedical Engineering ; Volume 57, Issue 6 , 2010 , Pages 1255-1263 ; 00189294 (ISSN)
  9. URL: http://ieeexplore.ieee.org/document/5406146/?reload=true