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PMID: 27043214 Published · ppublish English Journal Article

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

Annals of biomedical engineering ·Vol. 44 ·No. 11 ·2016-11-00 ·页码 3202-3214

Heidari Pahlavian S, Bunck AC, Thyagaraj S, Giese D, Loth F, Hedderich DM, Kröger JR, Martin BA

Abstract

Abnormal alterations in cerebrospinal fluid (CSF) flow are thought to play an important role in pathophysiology of various craniospinal disorders such as hydrocephalus and Chiari malformation. Three directional phase contrast MRI (4D Flow) has been proposed as one method for quantification of the CSF dynamics in healthy and disease states, but prior to further implementation of this technique, its accuracy in measuring CSF velocity magnitude and distribution must be evaluated. In this study, an MR-compatible experimental platform was developed based on an anatomically detailed 3D printed model of the cervical subarachnoid space and subject specific flow boundary conditions. Accuracy of 4D Flow measurements was assessed by comparison of CSF velocities obtained within the in vitro model with the numerically predicted velocities calculated from a spatially averaged computational fluid dynamics (CFD) model based on the same geometry and flow boundary conditions. Good agreement was observed between CFD and 4D Flow in terms of spatial distribution and peak magnitude of through-plane velocities with an average difference of 7.5 and 10.6% for peak systolic and diastolic velocities, respectively. Regression analysis showed lower accuracy of 4D Flow measurement at the timeframes corresponding to low CSF flow rate and poor correlation between CFD and 4D Flow in-plane velocities.

Keywords
4D Flow measurement Cerebrospinal fluid Computational fluid dynamics Magnetic resonance imaging Phantom experiment
MeSH 主题词
Cerebrospinal Fluid/metabolism Cervical Cord/diagnostic imaging,metabolism Cervical Vertebrae/diagnostic imaging,metabolism Computer Simulation Humans Magnetic Resonance Imaging Models, Neurological
作者与单位
共 8 位作者,点击展开单位 / ORCID
Heidari Pahlavian Soroush
Conquer Chiari Research Center, The University of Akron, Akron, OH, USA. | Department of Mechanical Engineering, The University of Akron, Akron, OH, USA.
Bunck Alexander C
Department of Radiology, University Hospital of Cologne, Cologne, Germany. | Department of Radiology, University Hospital of Muenster, Muenster, Germany.
Thyagaraj Suraj
Conquer Chiari Research Center, The University of Akron, Akron, OH, USA. | Department of Mechanical Engineering, The University of Akron, Akron, OH, USA.
Giese Daniel
Department of Radiology, University Hospital of Cologne, Cologne, Germany.
Loth Francis
Conquer Chiari Research Center, The University of Akron, Akron, OH, USA. | Department of Mechanical Engineering, The University of Akron, Akron, OH, USA.
Hedderich Dennis M
Department of Radiology, University Hospital of Cologne, Cologne, Germany.
Kröger Jan Robert
Department of Radiology, University Hospital of Muenster, Muenster, Germany.
Martin Bryn A
Department of Biological Engineering, The University of Idaho, 875 Perimeter Drive MS 0904, Moscow, ID, 83844-0904, USA. [email protected].
Article Info
Journal
Annals of biomedical engineering
Abbr.
Ann Biomed Eng
ISSN
1573-9686
Corresponding email
Published
2016-11-00
电子出版
2016-00-04
页码
3202-3214
Language
English
Country/Region
United States
NLM ID
0361512
基金资助
NINDS NIH HHS · R15 NS071455 · United States
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