ArticleFrontiers in bioengineering and biotechnology2021
A Combined Computational Fluid Dynamics and Arterial Spin Labeling MRI Modeling Strategy to Quantify Patient-Specific Cerebral Hemodynamics in Cerebrovascular Occlusive Disease.
Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 28 citations in OpenAlex.
- Computational Fluid Dynamics Analysis of Cerebrovascular Hemodynamic Differences in Adults with Sickle Cell Disease: Comparing Stroke and Non-Stroke Cohorts.Annals of biomedical engineering · 2026Article
- A Subject-Specific Cerebrovascular CFD Modeling Approach Based on a Multimodal Data-Driven Boundary Calibration Framework: A Proof-of-Concept Study.Bioengineering (Basel, Switzerland) · 2026Article
- Fluid Dynamics Simulation Analysis for Identifying Optimal Anastomosis Sites in Superficial Temporal Artery to Middle Cerebral Artery Bypass Surgery in Cerebrovascular Occlusive Disease.Neurologia medico-chirurgica · 2026Article
- Computational Modeling of Flow in an in Vitro Cerebrovascular Model Under Pulsatile Conditions with Experimental Validation.Cardiovascular engineering and technology · 2026Article
- Quantifying physiological variability and improving reproducibility in 4D-flow MRI cerebrovascular measurements with self-supervised deep learning.Magnetic resonance in medicine · 2025Article
- A systematic evaluation of the impact of contralateral stenosis on ipsilateral internal carotid artery hemodynamics using computational fluid dynamics.Quantitative imaging in medicine and surgery · 2025Article
- Physiologic model of the cerebrovascular system using supply and demand between arteries and tissues.Scientific reports · 2025Article
- Three-dimensional, patient-specific simulation of cerebral blood flow velocities as a new approach for individualized stroke prevention and treatment.Computational and structural biotechnology journal · 2025Article
- Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System.IEEE journal of biomedical and health informatics · 2024Article
- Numerical Modeling of Flow in the Cerebral Vasculature: Understanding Changes in Collateral Flow Directions in the Circle of Willis for a Cohort of Vasospasm Patients Through Image-Based Computational Fluid Dynamics.Annals of biomedical engineering · 2024Article
- Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications.Magnetic resonance in medicine · 2024Review
- Establishing the distribution of cerebrovascular resistance using computational fluid dynamics and 4D flow MRI.Scientific reports · 2024Article
- Evaluating the accuracy of cerebrovascular computational fluid dynamics modeling through time-resolved experimental validation.Scientific reports · 2024Article
- Generalized super-resolution 4D Flow MRI-using ensemble learning to extend across the cardiovascular system.ArXiv · 2023Article
- Tissue-growth-based synthetic tree generation and perfusion simulation.Biomechanics and modeling in mechanobiology · 2023Article
- Recent Methods for Modifying Mechanical Properties of Tissue-Engineered Scaffolds for Clinical Applications.Biomimetics (Basel, Switzerland) · 2023Review
- A magnetic resonance imaging-based computational analysis of cerebral hemodynamics in patients with carotid artery stenosis.Quantitative imaging in medicine and surgery · 2023Article
- Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study.Frontiers in physiology · 2023Article
- Sub-satisfactory recanalization of severe middle cerebral artery stenoses can significantly improve hemodynamics.Frontiers in cardiovascular medicine · 2022Article
- Noninvasive quantification of cerebrovascular pressure changes using 4D Flow MRI.Magnetic resonance in medicine · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
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.
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