Modeling flow in an in vitro anatomical cerebrovascular model with experimental validation

被引:9
|
作者
Bhardwaj, Saurabh [1 ]
Craven, Brent A. [2 ]
Sever, Jacob E. [1 ]
Costanzo, Francesco [1 ,3 ]
Simon, Scott D. [4 ]
Manning, Keefe B. [1 ,5 ]
机构
[1] Penn State Univ, Dept Biomed Engn, University Pk, PA 16801 USA
[2] US FDA, Off Sci & Engn Labs, Ctr Devices & Radiol Hlth, Silver Spring, MD 20993 USA
[3] Penn State Univ, Dept Engn Sci & Mech, 227 Hammond Bldg, University Pk, PA 16802 USA
[4] Penn State Hershey Med Ctr, Dept Neurosurg, Hershey, PA USA
[5] Penn State Hershey Med Ctr, Dept Surg, Hershey, PA 17033 USA
来源
基金
美国国家卫生研究院;
关键词
cerebrovascular model; cerebral blood flow; image based modeling; acute ischemic stroke; fluid dynamics; CEREBRAL-BLOOD-FLOW; XENON; VELOCITY; ARTERIES; DISEASE;
D O I
10.3389/fmedt.2023.1130201
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Acute ischemic stroke (AIS) is a leading cause of mortality that occurs when an embolus becomes lodged in the cerebral vasculature and obstructs blood flow in the brain. The severity of AIS is determined by the location and how extensively emboli become lodged, which are dictated in large part by the cerebral flow and the dynamics of embolus migration which are difficult to measure in vivo in AIS patients. Computational fluid dynamics (CFD) can be used to predict the patient-specific hemodynamics and embolus migration and lodging in the cerebral vasculature to better understand the underlying mechanics of AIS. To be relied upon, however, the computational simulations must be verified and validated. In this study, a realistic in vitro experimental model and a corresponding computational model of the cerebral vasculature are established that can be used to investigate flow and embolus migration and lodging in the brain. First, the in vitro anatomical model is described, including how the flow distribution in the model is tuned to match physiological measurements from the literature. Measurements of pressure and flow rate for both normal and stroke conditions were acquired and corresponding CFD simulations were performed and compared with the experiments to validate the flow predictions. Overall, the CFD simulations were in relatively close agreement with the experiments, to within +/- 7% of the mean experimental data with many of the CFD predictions within the uncertainty of the experimental measurement. This work provides an in vitro benchmark data set for flow in a realistic cerebrovascular model and is a first step towards validating a computational model of AIS.
引用
收藏
页数:10
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