ArticleMagma (New York, N.Y.)2016
Automatic labeling of cerebral arteries in magnetic resonance angiography.
Article in Magma (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- 4D flow MRI for non-invasive measurement of blood flow in the brain: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Pooled it
- Accurate and fully automated diameter measurements of Circle of Willis arteries on MRA imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025Article
- Automated in-depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks.Scientific reports · 2023Article
- Automated anatomical labeling of the intracranial arteries via deep learning in computed tomography angiography.Frontiers in physiology · 2023Article
- Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease.Frontiers in neurology · 2022Article
- Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.Neuroinformatics · 2021Review
- Cerebral arterial pulsatility is associated with features of small vessel disease in patients with acute stroke and TIA: a 4D flow MRI study.Journal of neurology · 2020Article
- Accuracy of blood flow assessment in cerebral arteries with 4D flow MRI: Evaluation with three segmentation methods.Journal of magnetic resonance imaging : JMRI · 2019Article
- The morphology of the human cerebrovascular system.Human brain mapping · 2018Article
- A Stereotactic Probabilistic Atlas for the Major Cerebral Arteries.Neuroinformatics · 2017Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesIn order to introduce 4D flow magnetic resonance imaging (MRI) as a standard clinical instrument for studying the cerebrovascular system, new and faster postprocessing tools are necessary. The objective of this study was to construct and evaluate a method for automatic identification of individual cerebral arteries in a 4D flow MRI angiogram. MATERIALS AND
methodsForty-six elderly individuals were investigated with 4D flow MRI. Fourteen main cerebral arteries were manually labeled and used to create a probabilistic atlas. An automatic atlas-based artery identification method (AAIM) was developed based on vascular-branch extraction and the atlas was used for identification. The method was evaluated by comparing automatic with manual identification in 4D flow MRI angiograms from 67 additional elderly individuals.
resultsOverall accuracy was 93%, and internal carotid artery and middle cerebral artery labeling was 100% accurate. Smaller and more distal arteries had lower accuracy; for posterior communicating arteries and vertebral arteries, accuracy was 70 and 89%, respectively.
conclusionThe AAIM enabled fast and fully automatic labeling of the main cerebral arteries. AAIM functionality provides the basis for creating an automatic and powerful method to analyze arterial cerebral blood flow in clinical routine.
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