Literature DB >> 24529910

Numerical simulations of the pulsating flow of cerebrospinal fluid flow in the cervical spinal canal of a Chiari patient.

Anders Helgeland1, Kent-Andre Mardal2, Victor Haughton3, Bjørn Anders Pettersson Reif4.   

Abstract

The flow of cerebrospinal fluid (CSF) in a patient-specific model of the subarachnoid space in a Chiari I patient was investigated using numerical simulations. The pulsating CSF flow was modeled using a time-varying velocity pulse based on peak velocity measurements (diastole and systole) derived from a selection of patients with Chiari I malformation. The present study introduces the general definition of the Reynolds number to provide a measure of CSF flow instability to give an estimate of the possibility of turbulence occurring in CSF flow. This was motivated by the fact that the combination of pulsating flow and the geometric complexity of the spinal canal may result in local Reynolds numbers that are significantly higher than the commonly used global measure such that flow instabilities may develop into turbulent flow in these regions. The local Reynolds number was used in combination with derived statistics to characterize the flow. The results revealed the existence of both local unstable regions and local regions with velocity fluctuations similar in magnitude to what is observed in fully turbulent flows. The results also indicated that the fluctuations were not self-sustained turbulence, but rather flow instabilities that may develop into turbulence. The case considered was therefore believed to represent a CSF flow close to transition.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CSF flow; Chiari I; Flow instability; Local Reynolds number; Simulations; Turbulence

Mesh:

Year:  2014        PMID: 24529910     DOI: 10.1016/j.jbiomech.2013.12.023

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  9 in total

Review 1.  Spinal fluid biomechanics and imaging: an update for neuroradiologists.

Authors:  V Haughton; K-A Mardal
Journal:  AJNR Am J Neuroradiol       Date:  2014-07-10       Impact factor: 3.825

2.  Nonuniform Moving Boundary Method for Computational Fluid Dynamics Simulation of Intrathecal Cerebrospinal Flow Distribution in a Cynomolgus Monkey.

Authors:  Mohammadreza Khani; Tao Xing; Christina Gibbs; John N Oshinski; Gregory R Stewart; Jillynne R Zeller; Bryn A Martin
Journal:  J Biomech Eng       Date:  2017-08-01       Impact factor: 2.097

3.  Inter-operator Reliability of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine.

Authors:  Bryn A Martin; Theresia I Yiallourou; Soroush Heidari Pahlavian; Suraj Thyagaraj; Alexander C Bunck; Francis Loth; Daniel B Sheffer; Jan Robert Kröger; Nikolaos Stergiopulos
Journal:  Ann Biomed Eng       Date:  2015-10-07       Impact factor: 3.934

4.  Accuracy of 4D Flow Measurement of Cerebrospinal Fluid Dynamics in the Cervical Spine: An In Vitro Verification Against Numerical Simulation.

Authors:  Soroush Heidari Pahlavian; Alexander C Bunck; Suraj Thyagaraj; Daniel Giese; Francis Loth; Dennis M Hedderich; Jan Robert Kröger; Bryn A Martin
Journal:  Ann Biomed Eng       Date:  2016-04-04       Impact factor: 3.934

5.  Computational Investigation of Cerebrospinal Fluid Dynamics in the Posterior Cranial Fossa and Cervical Subarachnoid Space in Patients with Chiari I Malformation.

Authors:  Karen-Helene Støverud; Hans Petter Langtangen; Geir Andre Ringstad; Per Kristian Eide; Kent-Andre Mardal
Journal:  PLoS One       Date:  2016-10-11       Impact factor: 3.240

6.  A 3D subject-specific model of the spinal subarachnoid space with anatomically realistic ventral and dorsal spinal cord nerve rootlets.

Authors:  Lucas R Sass; Mohammadreza Khani; Gabryel Connely Natividad; R Shane Tubbs; Olivier Baledent; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2017-12-19

7.  Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime.

Authors:  Kartik Jain
Journal:  Med Biol Eng Comput       Date:  2020-06-07       Impact factor: 2.602

8.  The Connected Steady State Model and the Interdependence of the CSF Proteome and CSF Flow Characteristics.

Authors:  Fabian Metzger; Daniel Mischek; Frédéric Stoffers
Journal:  Front Neurosci       Date:  2017-05-19       Impact factor: 4.677

9.  Correlation of a new hydrodynamic index with other effective indexes in Chiari I malformation patients with different associations.

Authors:  Seifollah Gholampour; Hanie Gholampour
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

  9 in total

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