ArticleJournal of magnetic resonance imaging : JMRI2019
Accuracy of blood flow assessment in cerebral arteries with 4D flow MRI: Evaluation with three segmentation methods.
Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 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
- Uncertainty-aware automated labeling of intracranial arteries using deep learning.BMC medical imaging · 2026Article
- Arterial-optimized 4D-flow MRI for quantifying flow and pulsatility in venous sinuses and large cerebral veins.Scientific reports · 2025Article
- Quantitative Evaluation of Carotid Artery Stenosis by Multi-VENC 4D Flow MRI: Incorporating Turbulent Kinetic Energy for Clinical Validity.Journal of magnetic resonance imaging : JMRI · 2025Article
- Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin-Labeling MR Angiography.AJNR. American journal of neuroradiology · 2024Article
- Establishing the distribution of cerebrovascular resistance using computational fluid dynamics and 4D flow MRI.Scientific reports · 2024Article
- Measuring global cerebrovascular pulsatility transmission using 4D flow MRI.Scientific reports · 2024Article
- Automatic 4D Flow MRI Segmentation Using the Standardized Difference of Means Velocity.IEEE transactions on medical imaging · 2023Article
- Automated hemodynamic assessment for cranial 4D flow MRI.Magnetic resonance imaging · 2023Article
- Repeatability and comparison of 2D and 4D flow MRI measurement of intracranial blood flow and pulsatility in healthy individuals and patients with cerebral small vessel disease.Frontiers in psychology · 2023Article
- 5-Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions.Annals of neurology · 2022Article
- Blood Flow Velocity Pulsatility and Arterial Diameter Pulsatility Measurements of the Intracranial Arteries Using 4D PC-MRI.Neuroinformatics · 2022Article
- Quality Control for 4D Flow MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Article
- Assessing cerebral arterial pulse wave velocity using 4D flow MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Cerebral arterial pulsatility is linked to hippocampal microvascular function and episodic memory in healthy older adults.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Quantification of hemodynamics of cerebral arteriovenous malformations after stereotactic radiosurgery using 4D flow magnetic resonance imaging.Journal of magnetic resonance imaging : JMRI · 2021Observational
- Hemodynamic Disturbances in Posterior Circulation Stroke: 4D Flow Magnetic Resonance Imaging Added to Computed Tomography Angiography.Frontiers in neuroscience · 2021Article
- Middle cerebral artery pressure laterality in patients with symptomatic ICA stenosis.PloS one · 2021Article
- Characterizing pulsatility in distal cerebral arteries using 4D flow MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Article
- Physiological responses of human skeletal muscle to acute blood flow restricted exercise assessed by multimodal MRI.Journal of applied physiology (Bethesda, Md. : 1985) · 2020Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccelerated 4D flow MRI allows for high-resolution velocity measurements with whole-brain coverage. Such scans are increasingly used to calculate flow rates of individual arteries in the vascular tree, but detailed information about the accuracy and precision in relation to different postprocessing options is lacking. PURPOSE: To evaluate and optimize three proposed segmentation methods and determine the accuracy of in vivo 4D flow MRI blood flow rate assessments in major cerebral arteries, with high-resolution 2D PCMRI as a reference. STUDY TYPE: Prospective. SUBJECTS: Thirty-five subjects (20 women, 79 ± 5 years, range 70-91 years). FIELD STRENGTH/SEQUENCE: 4D flow MRI with PC-VIPR and 2D PCMRI acquired with a 3 T scanner. ASSESSMENT: We compared blood flow rates measured with 4D flow MRI, to the reference, in nine main cerebral arteries. Lumen segmentation in the 4D flow MRI was performed with k-means clustering using four different input datasets, and with two types of thresholding methods. The threshold was defined as a percentage of the maximum intensity value in the complex difference image. Local and global thresholding approaches were used, with evaluated thresholds from 6-26%. STATISTICAL TESTS: Paired t-test, F-test, linear correlation (P < 0.05 was considered significant) along with intraclass correlation (ICC).
resultsWith the thresholding methods, the lowest average flow difference was obtained for 20% local (0.02 ± 15.0 ml/min, ICC = 0.97, n = 310) or 10% global (0.08 ± 17.3 ml/min, ICC = 0.97, n = 310) thresholding with a significant lower standard deviation for local (F-test, P = 0.01). For all clustering methods, we found a large systematic underestimation of flow compared with 2D PCMRI (16.1-22.3 ml/min). DATA
conclusionA locally adapted threshold value gives a more stable result compared with a globally fixed threshold. 4D flow with the proposed segmentation method has the potential to become a useful reliable clinical tool for assessment of blood flow in the major cerebral arteries. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:511-518.
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