ArticleNeuroinformatics2017
A Stereotactic Probabilistic Atlas for the Major Cerebral Arteries.
Article in Neuroinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- Development of a standardized intracranial vessel model from 3D time-of-flight magnetic resonance angiography data of the SHIP cohort.Neuroradiology · 2026Article
- A Novel Voxel-based Technique for 3-Dimensional Transparent Visualization of Lip-Nasal Vasculature.Plastic and reconstructive surgery. Global open · 2026Article
- HyPER: Region-specific hypersampling of fMRI to resolve low-frequency, respiratory, and cardiac pulsations, revealing age-related differences.NeuroImage · 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
- An fMRI approach to assess intracranial arterial-to-venous cardiac pulse delay in aging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging.Interface focus · 2024Article
- Coupled pulsatile vascular and paravascular fluid dynamics in the human brain.Fluids and barriers of the CNS · 2024Article
- Segmentation of stroke lesions using transformers-augmented MRI analysis.Human brain mapping · 2024Article
- Reliability of the TMS-evoked potential in dorsolateral prefrontal cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing.Journal of imaging · 2024Article
- Paravascular fluid dynamics reveal arterial stiffness assessed using dynamic diffusion-weighted imaging.NMR in biomedicine · 2024Article
- 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
- Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.Neuroinformatics · 2021Review
- Assessment of Cerebral Blood Flow Pulsatility and Cerebral Arterial Compliance With 4D Flow MRI.Journal of magnetic resonance imaging : JMRI · 2020Article
- 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
- Direct comparison of activation maps during galvanic vestibular stimulation: A hybrid H2[15 O] PET-BOLD MRI activation study.PloS one · 2020Article
- Computer Modeling of Clot Retrieval-Circle of Willis.Frontiers in 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
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Improved whole brain angiographic and velocity-sensitive MRI is pushing the boundaries of noninvasively obtained cerebral vascular flow information. The complexity of the information contained in such datasets calls for automated algorithms and pipelines, thus reducing the need of manual analyses by trained radiologists. The objective of this work was to lay the foundation for such automated pipelining by constructing and evaluating a probabilistic atlas describing the shape and location of the major cerebral arteries. Specifically, we investigated how the implementation of a non-linear normalization into Montreal Neurological Institute (MNI) space improved the alignment of individual arterial branches. In a population-based cohort of 167 subjects, age 64-68 years, we performed 4D flow MRI with whole brain volumetric coverage, yielding both angiographic and anatomical data. For each subject, sixteen cerebral arteries were manually labeled to construct the atlas. Angiographic data were normalized to MNI space using both rigid-body and non-linear transformations obtained from anatomical images. The alignment of arterial branches was significantly improved by the non-linear normalization (p < 0.001). Validation of the atlas was based on its applicability in automatic arterial labeling. A leave-one-out validation scheme revealed a labeling accuracy of 96 %. Arterial labeling was also performed in a separate clinical sample (n = 10) with an accuracy of 92.5 %. In conclusion, using non-linear spatial normalization we constructed an artery-specific probabilistic atlas, useful for cerebral arterial labeling.
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