ArticleMagnetic resonance in medicine2018
Development of a quantitative intracranial vascular features extraction tool on 3D MRA using semiautomated open-curve active contour vessel tracing.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Anatomically-guided masked autoencoder pre-training for aneurysm detection.IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision · 2026Article
- Quantitative analysis of cerebral vasculature and its clinical effect on cognitive change in Alzheimer's dementia and mild cognitive impairment.Journal of the neurological sciences · 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
- Automated MRI-based segmentation of intracranial arterial calcification by restricting feature complexity.Magnetic resonance in medicine · 2025Article
- Non-contrast enhanced visualization of the equine foot vasculature in a cadaver model using time-of-flight sequence.Frontiers in veterinary science · 2025Article
- In Vivo Deformation of the Human Basilar Artery.Annals of biomedical engineering · 2025Article
- Automated Detection of Steno-Occlusive Lesion on Time-of-Flight MR Angiography: An Observer Performance Study.AJNR. American journal of neuroradiology · 2024Article
- Plaque Evolution and Vessel Wall Remodeling of Intracranial Arteries: A Prospective, Longitudinal Vessel Wall MRI Study.Journal of magnetic resonance imaging : JMRI · 2024Article
- Sex differences in clot, vessel and tissue characteristics in patients with a large vessel occlusion treated with endovascular thrombectomy.European stroke journal · 2024Article
- Assessing Machine Learning Models for Predicting Age with Intracranial Vessel Tortuosity and Thickness Information.Brain sciences · 2023Article
- Effects of Path-Finding Algorithms on the Labeling of the Centerlines of Circle of Willis Arteries.Tomography (Ann Arbor, Mich.) · 2023Article
- Alterations in cerebral distal vascular features and effect on cognition in a high cardiovascular risk population: A prospective longitudinal study.Magnetic resonance imaging · 2023Article
- Vascular Cross-Section, Rather Than Tortuosity, Can Classify First-Pass Outcome of Mechanical Thrombectomy for Ischemic Stroke.Stroke (Hoboken, N.J.) · 2023Article
- Automated in-depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks.Scientific reports · 2023Article
- Association between morphologic features of intracranial distal arteries and brain atrophy indexes in cerebral small vessel disease: a voxel-based morphometry study.Frontiers in neurology · 2023Article
- Characterization of non-stenotic plaques in intracranial arteries with multi-contrast, multi-planar vessel wall image analysis.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2022Article
- Automated morphologic analysis of intracranial and extracranial arteries using convolutional neural networks.The British journal of radiology · 2022Article
- DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data.Journal of imaging · 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
- Associations of intracranial artery length and branch number on non-contrast enhanced MRA with cognitive impairment in individuals with carotid atherosclerosis.Scientific reports · 2022Article
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Funding
Abstract
purposeTo develop a quantitative intracranial artery measurement technique to extract comprehensive artery features from time-of-flight MR angiography (MRA).
methodsBy semiautomatically tracing arteries based on an open-curve active contour model in a graphical user interface, 12 basic morphometric features and 16 basic intensity features for each artery were identified. Arteries were then classified as one of 24 types using prediction from a probability model. Based on the anatomical structures, features were integrated within 34 vascular groups for regional features of vascular trees. Eight 3D MRA acquisitions with intracranial atherosclerosis were assessed to validate this technique.
resultsArterial tracings were validated by an experienced neuroradiologist who checked agreement at bifurcation and stenosis locations. This technique achieved 94% sensitivity and 85% positive predictive values (PPV) for bifurcations, and 85% sensitivity and PPV for stenosis. Up to 1,456 features, such as length, volume, and averaged signal intensity for each artery, as well as vascular group in each of the MRA images, could be extracted to comprehensively reflect characteristics, distribution, and connectivity of arteries. Length for the M1 segment of the middle cerebral artery extracted by this technique was compared with reviewer-measured results, and the intraclass correlation coefficient was 0.97.
conclusionA semiautomated quantitative method to trace, label, and measure intracranial arteries from 3D-MRA was developed and validated. This technique can be used to facilitate quantitative intracranial vascular research, such as studying cerebrovascular adaptation to aging and disease conditions. Magn Reson Med 79:3229-3238, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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