Abstract
Cerebrovascular resistance (CVR) regulates blood flow in the brain, but little is known about the vascular resistances of the individual cerebral territories. We present a method to calculate these resistances and investigate how CVR varies in the hemodynamically disturbed brain. We included 48 patients with stroke/TIA (29 with symptomatic carotid stenosis). By combining flow rate (4D flow MRI) and structural computed tomography angiography (CTA) data with computational fluid dynamics (CFD) we computed the perfusion pressures out from the circle of Willis, with which CVR of the MCA, ACA, and PCA territories was estimated. 56 controls were included for comparison of total CVR (tCVR). CVR were 33.8 ± 10.5, 59.0 ± 30.6, and 77.8 ± 21.3 mmHg s/ml for the MCA, ACA, and PCA territories. We found no differences in tCVR between patients, 9.3 ± 1.9 mmHg s/ml, and controls, 9.3 ± 2.0 mmHg s/ml (p = 0.88), nor in territorial CVR in the carotid stenosis patients between ipsilateral and contralateral hemispheres. Territorial resistance associated inversely to territorial brain volume (p < 0.001). These resistances may work as reference values when modelling blood flow in the circle of Willis, and the method can be used when there is need for subject-specific analysis.
Keywords
Carotid stenosis
Cerebrovascular resistance
Computational fluid dynamics
Peripheral cerebral territories
Stroke
MeSH Terms
Humans
Male
Female
Cerebrovascular Circulation/physiology
Hydrodynamics
Vascular Resistance/physiology
Middle Aged
Aged
Magnetic Resonance Imaging/methods
Stroke/diagnostic imaging,physiopathology
Carotid Stenosis/physiopathology,diagnostic imaging
Hemodynamics
Computed Tomography Angiography/methods
Circle of Willis/diagnostic imaging,physiopathology
Blood Flow Velocity
Brain/diagnostic imaging,blood supply,physiopathology
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Vikström Axel
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden.
[email protected].
Holmlund Petter
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. | Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden.
Holmgren Madelene
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. | Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
Wåhlin Anders
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. | Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden. | Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden.
Zarrinkoob Laleh
Department of Diagnostics and Intervention, Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
Malm Jan
Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
Eklund Anders
Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. | Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden.