2D computational fluid dynamic modeling of human ventricle system based on fluid-solid interaction and pulsatile flow

Masoumi, N ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. Publisher: 2013
  3. Abstract:
  4. Many diseases are related to cerebrospinal fluid (CSF) hydrodynamics. Therefore, understanding the hydrodynamics of CSF flow and intracranial pressure is helpful for obtaining deeper knowledge of pathological processes and providing better treatments. Furthermore, engineering a reliable computational method is promising approach for fabricating in vitro models which is essential for inventing generic medicines. A Fluid-Solid Interaction (FSI)model was constructed to simulate CSF flow. An important problem in modeling the CSF flow is the diastolic back flow. In this article, using both rigid and flexible conditions for ventricular system allowed us to evaluate the effect of surrounding brain tissue. Our model assumed an elastic wall for the ventricles and a pulsatile CSF input as its boundary conditions. A comparison of the results and the experimental data was done. The flexible model gave better results because it could reproduce the diastolic back flow mentioned in clinical research studies. The previous rigid models have ignored the brain parenchyma interaction with CSF and so had not reported the back flow during the diastolic time. In this computational fluid dynamic (CFD) analysis, the CSF pressure and flow velocity in different areas were concordant with the experimental data
  5. Keywords:
  6. Cerebrospinal fluid ; Computational fluid dynamics (CFD) ; FSI modeling ; Hydrodynamics ; Pulsatile ; Brain region ; Brain tissue ; Brain ventricle ; Cerebrospinal fluid flow ; Cerebrospinal fluid pressure ; Computational fluid dynamics ; Controlled study ; Elasticity ; Experimental study ; Flow rate ; Fluid solid interaction model ; Intermethod comparison ; Mathematical model ; Nuclear magnetic resonance imaging ; Pulsatile flow ; Solid state
  7. Source: Basic and Clinical Neuroscience ; Volume 4, Issue 1 , 2013 , Pages 64-75 ; 2008126X (ISSN)
  8. URL: http://www.ncbi.nlm.nih.gov/pubmed/25337330