ArticleThe international journal of cardiovascular imaging2012
Automated quantification of carotid artery stenosis on contrast-enhanced MRA data using a deformable vascular tube model.
Article in The international journal of cardiovascular imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Chromosome 10q24.32 Variants Associate With Brain Arterial Diameters in Diverse Populations: A Genome-Wide Association Study.Journal of the American Heart Association · 2023Pooled it
- Intracranial vessel wall lesions on MRI: anatomical and pathological issues.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Review
- 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
- Chromosome 10q24.32 Variants Associate with Brain Arterial Diameters in Diverse Populations: A Genome-Wide Association Study.medRxiv : the preprint server for health sciences · 2023Article
- Anatomical effects on the relationship between brain arterial diameter and length: The Northern Manhattan Study.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- Relationship Between Central Artery Stiffness, Brain Arterial Dilation, and White Matter Hyperintensities in Older Adults: The ARIC Study-Brief Report.Arteriosclerosis, thrombosis, and vascular biology · 2021Observational
- Automated segmentation of the individual branches of the carotid arteries in contrast-enhanced MR angiography using DeepMedic.BMC medical imaging · 2021Article
- Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks.IEEE transactions on bio-medical engineering · 2019Article
- Validation of parametric mesh generation for subject-specific cerebroarterial trees using modified Hausdorff distance metrics.Computers in biology and medicine · 2018Article
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Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to develop and validate a method for automated segmentation of the carotid artery lumen from volumetric MR Angiographic (MRA) images using a deformable tubular 3D Non-Uniform Rational B-Splines (NURBS) model. A flexible 3D tubular NURBS model was designed to delineate the carotid arterial lumen. User interaction was allowed to guide the model by placement of forbidden areas. Contrast-enhanced MRA (CE-MRA) from 21 patients with carotid atherosclerotic disease were included in this study. The validation was performed against expert drawn contours on multi-planar reformatted image slices perpendicular to the artery. Excellent linear correlations were found on cross-sectional area measurement (r = 0.98, P < 0.05) and on luminal diameter (r = 0.98, P < 0.05). Strong match in terms of the Dice similarity indices were achieved: 0.95 ± 0.02 (common carotid artery), 0.90 ± 0.07 (internal carotid artery), 0.87 ± 0.07 (external carotid artery), 0.88 ± 0.09 (carotid bifurcation) and 0.75 ± 0.20 (stenosed segments). Slight overestimation of stenosis grading by the automated method was observed. The mean differences was 7.20% (SD = 21.00%) and 5.2% (SD = 21.96%) when validated against two observers. Reproducibility in stenosis grade calculation by the automated method was high; the mean difference between two repeated analyses was 1.9 ± 7.3%. In conclusion, the automated method shows high potential for clinical application in the analysis of CE-MRA of carotid arteries.
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