Flow analysis of aortic dissection: comparison of inflow boundary conditions for computational models based on 4D PCMRI and Doppler ultrasound

Zhenfeng Li; Shichao Liang; Huanming Xu; Minjia Zhu; Yuqian Mei; Jiang Xiong; Duanduan Chen

doi:10.1080/10255842.2021.1876036

Flow analysis of aortic dissection: comparison of inflow boundary conditions for computational models based on 4D PCMRI and Doppler ultrasound

Zhenfeng Li, Shichao Liang, Huanming Xu, Minjia Zhu, Yuqian Mei, Jiang Xiong, Duanduan Chen^*

^*Corresponding author for this work

School of Medical and Technology

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

Computational hemodynamics quantifying the flow environment is an important tool in understanding aortic dissection. In this study, various inflow boundaries were applied on a patient-specific model and compared to the individualized velocimetry. The results indicated that the computations generally overestimated the flow volume and underestimated the wall shear stress. By quantifying the accuracy of the simulation results, two inflow settings were suggested. One was individualized, the PCMRI-extracted 4D flow information, and the other was averaged by healthy data, the ultrasound-extracted averaged flow waveform with parabolic velocity profile. This study might contribute to improving the precise computation of aortic dissection hemodynamics.

Original language	English
Pages (from-to)	1251-1262
Number of pages	12
Journal	Computer Methods in Biomechanics and Biomedical Engineering
Volume	24
Issue number	11
DOIs	https://doi.org/10.1080/10255842.2021.1876036
Publication status	Published - 2021

Keywords

4D PCMRI
Aortic dissection
Doppler ultrasound
boundary condition
computational fluid dynamics

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10.1080/10255842.2021.1876036

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abstract = "Computational hemodynamics quantifying the flow environment is an important tool in understanding aortic dissection. In this study, various inflow boundaries were applied on a patient-specific model and compared to the individualized velocimetry. The results indicated that the computations generally overestimated the flow volume and underestimated the wall shear stress. By quantifying the accuracy of the simulation results, two inflow settings were suggested. One was individualized, the PCMRI-extracted 4D flow information, and the other was averaged by healthy data, the ultrasound-extracted averaged flow waveform with parabolic velocity profile. This study might contribute to improving the precise computation of aortic dissection hemodynamics.",

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AU - Li, Zhenfeng

AU - Liang, Shichao

AU - Xu, Huanming

AU - Zhu, Minjia

AU - Mei, Yuqian

AU - Xiong, Jiang

AU - Chen, Duanduan

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AB - Computational hemodynamics quantifying the flow environment is an important tool in understanding aortic dissection. In this study, various inflow boundaries were applied on a patient-specific model and compared to the individualized velocimetry. The results indicated that the computations generally overestimated the flow volume and underestimated the wall shear stress. By quantifying the accuracy of the simulation results, two inflow settings were suggested. One was individualized, the PCMRI-extracted 4D flow information, and the other was averaged by healthy data, the ultrasound-extracted averaged flow waveform with parabolic velocity profile. This study might contribute to improving the precise computation of aortic dissection hemodynamics.

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Flow analysis of aortic dissection: comparison of inflow boundary conditions for computational models based on 4D PCMRI and Doppler ultrasound

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