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Article
Characterization of the Discrepancies Between Four-Dimensional Phase-Contrast Magnetic Resonance Imaging and In-Silico Simulations of Cerebrospinal Fluid Dynamics
Journal of biomechanical engineering
  • Soroush Heidari, University of Akron Main Campus
  • Alexander C. Bunck
  • Francis Loth, The University of Akron, Main Campus
  • R. Shane Tubbs
  • Theresia Yiallourou
  • Jan Robert Kroeger
  • Walter Heindel
  • Bryn A. Martin, The University of Akron, Main campus
Document Type
Article
Publication Date
5-1-2015
Abstract
The purpose of the present study was to compare subject-specific magnetic resonance imaging (MRI)-based computational fluid dynamics (CFD) simulations with time-resolved three-directional (3D) velocity-encoded phase-contrast MRI (4D PCMRI) measurements of the cerebrospinal fluid (CSF) velocity field in the cervical spinal subarachnoid space (SSS). Three-dimensional models of the cervical SSS were constructed based on MRI image segmentation and anatomical measurements for a healthy subject and patient with Chiari I malformation. CFD was used to simulate the CSF motion and compared to the 4D PCMRI measurements. Four-dimensional PCMRI measurements had much greater CSF velocities compared to CFD simulations (1.4 to 5.6× greater). Four-dimensional PCMRI and CFD both showed anterior and anterolateral dominance of CSF velocities, although this flow feature was more pronounced in 4D PCMRI measurements compared to CFD. CSF flow jets were present near the nerve rootlets and denticulate ligaments (NRDL) in the CFD simulation. Flow jets were visible in the 4D PCMRI measurements, although they were not clearly attributable to nerve rootlets. Inclusion of spinal cord NRDL in the cervical SSS does not fully explain the differences between velocities obtained from 4D PCMRI measurements and CFD simulations.
Citation Information
Soroush Heidari, Alexander C. Bunck, Francis Loth, R. Shane Tubbs, et al.. "Characterization of the Discrepancies Between Four-Dimensional Phase-Contrast Magnetic Resonance Imaging and In-Silico Simulations of Cerebrospinal Fluid Dynamics" Journal of biomechanical engineering Vol. 137 Iss. 5 (2015) p. 051002 - 051002
Available at: http://works.bepress.com/bryn_martin/25/