A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive Disease
Cerebral hemodynamics in the presence of cerebrovascular occlusive disease (CVOD) are influenced by the anatomy of the intracranial arteries, the degree of stenosis, the patency of collateral pathways, and the condition of the cerebral microvasculature. Accurate characterization of cerebral hemodyna...
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2021-08-01
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doaj-a4f5492bcf7a487289b8fc617e8817c42021-08-17T12:29:50ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852021-08-01910.3389/fbioe.2021.722445722445A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive DiseaseJonas Schollenberger0Nicholas H. Osborne1Luis Hernandez-Garcia2Luis Hernandez-Garcia3C. Alberto Figueroa4C. Alberto Figueroa5Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United StatesDepartment of Surgery, University of Michigan, Ann Arbor, MI, United StatesDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United StatesFunctional MRI Laboratory, University of Michigan, Ann Arbor, MI, United StatesDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United StatesDepartment of Surgery, University of Michigan, Ann Arbor, MI, United StatesCerebral hemodynamics in the presence of cerebrovascular occlusive disease (CVOD) are influenced by the anatomy of the intracranial arteries, the degree of stenosis, the patency of collateral pathways, and the condition of the cerebral microvasculature. Accurate characterization of cerebral hemodynamics is a challenging problem. In this work, we present a strategy to quantify cerebral hemodynamics using computational fluid dynamics (CFD) in combination with arterial spin labeling MRI (ASL). First, we calibrated patient-specific CFD outflow boundary conditions using ASL-derived flow splits in the Circle of Willis. Following, we validated the calibrated CFD model by evaluating the fractional blood supply from the main neck arteries to the vascular territories using Lagrangian particle tracking and comparing the results against vessel-selective ASL (VS-ASL). Finally, the feasibility and capability of our proposed method were demonstrated in two patients with CVOD and a healthy control subject. We showed that the calibrated CFD model accurately reproduced the fractional blood supply to the vascular territories, as obtained from VS-ASL. The two patients revealed significant differences in pressure drop over the stenosis, collateral flow, and resistance of the distal vasculature, despite similar degrees of clinical stenosis severity. Our results demonstrated the advantages of a patient-specific CFD analysis for assessing the hemodynamic impact of stenosis.https://www.frontiersin.org/articles/10.3389/fbioe.2021.722445/fullarterial spin labelingcomputational fluid dynamicscerebral hemodynamicscerebrovascular occlusive diseasecircle of williscollateral flow |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jonas Schollenberger Nicholas H. Osborne Luis Hernandez-Garcia Luis Hernandez-Garcia C. Alberto Figueroa C. Alberto Figueroa |
spellingShingle |
Jonas Schollenberger Nicholas H. Osborne Luis Hernandez-Garcia Luis Hernandez-Garcia C. Alberto Figueroa C. Alberto Figueroa A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive Disease Frontiers in Bioengineering and Biotechnology arterial spin labeling computational fluid dynamics cerebral hemodynamics cerebrovascular occlusive disease circle of willis collateral flow |
author_facet |
Jonas Schollenberger Nicholas H. Osborne Luis Hernandez-Garcia Luis Hernandez-Garcia C. Alberto Figueroa C. Alberto Figueroa |
author_sort |
Jonas Schollenberger |
title |
A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive Disease |
title_short |
A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive Disease |
title_full |
A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive Disease |
title_fullStr |
A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive Disease |
title_full_unstemmed |
A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive Disease |
title_sort |
combined computational fluid dynamics and arterial spin labeling mri modeling strategy to quantify patient-specific cerebral hemodynamics in cerebrovascular occlusive disease |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Bioengineering and Biotechnology |
issn |
2296-4185 |
publishDate |
2021-08-01 |
description |
Cerebral hemodynamics in the presence of cerebrovascular occlusive disease (CVOD) are influenced by the anatomy of the intracranial arteries, the degree of stenosis, the patency of collateral pathways, and the condition of the cerebral microvasculature. Accurate characterization of cerebral hemodynamics is a challenging problem. In this work, we present a strategy to quantify cerebral hemodynamics using computational fluid dynamics (CFD) in combination with arterial spin labeling MRI (ASL). First, we calibrated patient-specific CFD outflow boundary conditions using ASL-derived flow splits in the Circle of Willis. Following, we validated the calibrated CFD model by evaluating the fractional blood supply from the main neck arteries to the vascular territories using Lagrangian particle tracking and comparing the results against vessel-selective ASL (VS-ASL). Finally, the feasibility and capability of our proposed method were demonstrated in two patients with CVOD and a healthy control subject. We showed that the calibrated CFD model accurately reproduced the fractional blood supply to the vascular territories, as obtained from VS-ASL. The two patients revealed significant differences in pressure drop over the stenosis, collateral flow, and resistance of the distal vasculature, despite similar degrees of clinical stenosis severity. Our results demonstrated the advantages of a patient-specific CFD analysis for assessing the hemodynamic impact of stenosis. |
topic |
arterial spin labeling computational fluid dynamics cerebral hemodynamics cerebrovascular occlusive disease circle of willis collateral flow |
url |
https://www.frontiersin.org/articles/10.3389/fbioe.2021.722445/full |
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