ArticleNeuroImage2013
Digital reconstruction and morphometric analysis of human brain arterial vasculature from magnetic resonance angiography.
Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
47 citing papers in PubMed.
- Article
- Estimation of Blood Velocity from TOF-MRA Arterial Centerlines: Theory, Simulation, and Inverse Solution.Bioengineering (Basel, Switzerland) · 2026Article
- Automated quantification of mesenteric hyperaemia in Crohn's disease using time-of-flight magnetic resonance angiography.Abdominal radiology (New York) · 2026Article
- Computational Framework for Modeling Effects of Brain Collateral Circulation.International journal for numerical methods in biomedical engineering · 2025Article
- Cerebrovascular morphology: Insights into normal variations, aging effects and disease implications.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025Review
- Bioprinting of Aptamer-Based Programmable Bioinks to Modulate Multiscale Microvascular Morphogenesis in 4D.Advanced healthcare materials · 2025Article
- Human cerebral blood supply via circulus arteriosus cerebri: A scoping review on its variations and clinical implications.Heliyon · 2024Article
- Vascular synthesis based on hemodynamic efficiency principle recapitulates measured cerebral circulation properties in the human brain.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research.Advances in neurobiology · 2024Article
- Assessing Machine Learning Models for Predicting Age with Intracranial Vessel Tortuosity and Thickness Information.Brain sciences · 2023Article
- Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function.NeuroImage · 2023Article
- CellRemorph: A Toolkit for Transforming, Selecting, and Slicing 3D Cell Structures on the Road to Morphologically Detailed Astrocyte Simulations.Neuroinformatics · 2023Article
- Predicting brain temperature in humans using bioheat models: Progress and outlook.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Review
- Digital 3D Brain MRI Arterial Territories Atlas.Scientific data · 2023Article
- Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience.Briefings in bioinformatics · 2023Article
- Modelling collateral flow and thrombus permeability during acute ischaemic stroke.Journal of the Royal Society, Interface · 2022Article
- Novel imaging markers for altered cerebrovascular morphology in aging, stroke, and Alzheimer's disease.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- Day to Day Blood Pressure Variability Associated With Cerebral Arterial Dilation and White Matter Hyperintensity.Hypertension (Dallas, Tex. : 1979) · 2022Observational
- Article
- Flow reversal in distal collaterals as a possible mechanism of delayed intraparenchymal hemorrhage after flow diversion treatment of cerebral aneurysms.Frontiers in physiology · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Characterization of the complex branching architecture of cerebral arteries across a representative sample of the human population is important for diagnosing, analyzing, and predicting pathological states. Brain arterial vasculature can be visualized by magnetic resonance angiography (MRA). However, most MRA studies are limited to qualitative assessments, partial morphometric analyses, individual (or small numbers of) subjects, proprietary datasets, or combinations of the above limitations. Neuroinformatics tools, developed for neuronal arbor analysis, were used to quantify vascular morphology from 3T time-of-flight MRA high-resolution (620 μm isotropic) images collected in 61 healthy volunteers (36/25 F/M, average age=31.2 ± 10.7, range=19-64 years). We present in-depth morphometric analyses of the global and local anatomical features of these arbors. The overall structure and size of the vasculature did not significantly differ across genders, ages, or hemispheres. The total length of the three major arterial trees stemming from the circle of Willis (from smallest to largest: the posterior, anterior, and middle cerebral arteries; or PCAs, ACAs, and MCAs, respectively) followed an approximate 1:2:4 proportion. Arterial size co-varied across individuals: subjects with one artery longer than average tended to have all other arteries also longer than average. There was no net right-left difference across the population in any of the individual arteries, but ACAs were more lateralized than MCAs. MCAs, ACAs, and PCAs had similar branch-level properties such as bifurcation angles. Throughout the arterial vasculature, there were considerable differences between branch types: bifurcating branches were significantly shorter and straighter than terminating branches. Furthermore, the length and meandering of bifurcating branches increased with age and with path distance from the circle of Willis. All reconstructions are freely distributed through a public database to enable additional analyses and modeling (cng.gmu.edu/brava).
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