Abstract
Cerebral hemodynamics play an important role in the development of cerebrovascular diseases. In this work, we propose a numerical framework for modeling patient-specific cerebral blood flow, using commonly available clinical datasets. Our hemodynamic model was developed using Simscape Fluids library in Simulink, based on a block diagram language. Medical imaging data obtained from computerized tomography angiography (CTA) in 59 patients with aneurysmal subarachnoid hemorrhage was used to extract arterial geometry parameters. Flow information obtained from transcranial Doppler (TCD) measurement was employed to calibrate input parameters of the hemodynamic model. The results show that the proposed numerical model can reproduce blood flow in the circle of Willis (CoW) per patient per measurement set. The resistance at the distal end of each terminal branch was the predominant parameter for the flow distribution in the CoW. The proposed model may be a promising tool for assessing cerebral hemodynamics in patients with cerebrovascular disease.
Highlights
Numerical modeling of the blood flow through the circle of Willis (CoW) can help understand the relationship between hemodynamics in the CoW and cerebrovascular disease
The excellent agreement was obtained between the numerical and measured Pm, and the very good agreement was observed for Ps and Pd. Since these three parameters were commonly used to sketch the blood pressure waveform, we considered that the obtained pressure waveform by the Simulink model at the entrance of CoW represented the hemodynamic condition at the time of transcranial Doppler (TCD) measurement
This paper presents a three-steps approach for implementation of a patient-specific cerebral blood flow simulation based on commonly available clinical datasets
Summary
Fifteen percent of the total cardiac output is distributed to the brain (Burton, 1965). The circle of Willis (CoW) is a circulatory anastomosis at the base of the brain and serves as the central hub that distributes blood flow to the brain. Numerical modeling of the blood flow through the CoW can help understand the relationship between hemodynamics in the CoW and cerebrovascular disease. Due to the complexity of the CoW-structure and the large anatomical variation of the CoW in the population, developing a reliable patients-specific numerical model for assessing cerebral hemodynamics is a great challenge. One-dimensional (1D) modeling has been widely employed for studying hemodynamic effects in the CoWdue to anatomical variations and occlusions (Alastruey et al, 2007; Huang et al, 2018).
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