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PMID: 28462417 Published · ppublish English Journal Article

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

Journal of biomechanical engineering ·Vol. 139 ·No. 8 ·2017-08-01

Khani M, Xing T, Gibbs C, Oshinski JN, Stewart GR, Zeller JR, Martin BA

Abstract

A detailed quantification and understanding of cerebrospinal fluid (CSF) dynamics may improve detection and treatment of central nervous system (CNS) diseases and help optimize CSF system-based delivery of CNS therapeutics. This study presents a computational fluid dynamics (CFD) model that utilizes a nonuniform moving boundary approach to accurately reproduce the nonuniform distribution of CSF flow along the spinal subarachnoid space (SAS) of a single cynomolgus monkey. A magnetic resonance imaging (MRI) protocol was developed and applied to quantify subject-specific CSF space geometry and flow and define the CFD domain and boundary conditions. An algorithm was implemented to reproduce the axial distribution of unsteady CSF flow by nonuniform deformation of the dura surface. Results showed that maximum difference between the MRI measurements and CFD simulation of CSF flow rates was <3.6%. CSF flow along the entire spine was laminar with a peak Reynolds number of ∼150 and average Womersley number of ∼5.4. Maximum CSF flow rate was present at the C4-C5 vertebral level. Deformation of the dura ranged up to a maximum of 134 μm. Geometric analysis indicated that total spinal CSF space volume was ∼8.7 ml. Average hydraulic diameter, wetted perimeter, and SAS area were 2.9 mm, 37.3 mm and 27.24 mm2, respectively. CSF pulse wave velocity (PWV) along the spine was quantified to be 1.2 m/s.

MeSH 主题词
Animals Cerebrospinal Fluid/diagnostic imaging,physiology Computer Simulation Hydrodynamics Macaca fascicularis Magnetic Resonance Imaging Male
作者与单位
共 7 位作者,点击展开单位 / ORCID
Khani Mohammadreza
Neurophysiological Imaging and Modeling Laboratory, Department of Biological Engineering, University of Idaho, Moscow, ID 83844 e-mail: [email protected].
Xing Tao
Department of Mechanical Engineering, University of Idaho, Moscow, ID 83844 e-mail: [email protected].
Gibbs Christina
Neurophysiological Imaging and Modeling Laboratory, Department of Biological Engineering, University of Idaho, Moscow, ID 83844 e-mail: [email protected].
Oshinski John N
Department of Radiology, Emory University, Atlanta, GA 30322 e-mail: [email protected].
Stewart Gregory R
Alchemy Neuroscience, Hanover, MA 02340 e-mail: [email protected].
Zeller Jillynne R
Northern Biomedical Research, Spring Lake, MI 49456 e-mail: [email protected].
Martin Bryn A
Neurophysiological Imaging and Modeling Laboratory, Department of Biological Engineering, University of Idaho, Moscow, ID 83844 e-mail: [email protected].
Article Info
Journal
Journal of biomechanical engineering
Abbr.
J Biomech Eng
ISSN
1528-8951
Published
2017-08-01
Language
English
Country/Region
United States
NLM ID
7909584
基金资助
NIGMS NIH HHS · P20 GM103408 · United States
NIMH NIH HHS · R44 MH112210 · United States
NIGMS NIH HHS · U54 GM104944 · United States
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