ArticleMagnetic resonance in medicine2019
Quantification of intracranial arterial blood flow using noncontrast enhanced 4D dynamic MR angiography.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- ASL 4D MRA Intracranial Vessel Segmentation With Deep Learning U-Nets.Magnetic resonance in medicine · 2026Article
- Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin-Labeling MR Angiography.AJNR. American journal of neuroradiology · 2024Article
- Cervical spinal cord angiography and vessel-selective perfusion imaging in the rat.NMR in biomedicine · 2024Article
- Simultaneous perfusion, diffusion, TMagnetic resonance in medicine · 2024Article
- Automatic Rejection based on Tissue Signal (ARTS) for motion-corrected quantification of cerebral venous oxygenation in neonates and older adults.Magnetic resonance imaging · 2024Article
- k-space weighted image average (KWIA) for ASL-based dynamic MR angiography and perfusion imaging.Magnetic resonance imaging · 2022Article
- High-Resolution Neurovascular Imaging at 7T: Arterial Spin Labeling Perfusion, 4-Dimensional MR Angiography, and Black Blood MR Imaging.Magnetic resonance imaging clinics of North America · 2021Review
- A novel sequence for simultaneous measurement of whole-brain static and dynamic MRA, intracranial vessel wall image, and TMagnetic resonance in medicine · 2021Article
- Intracranial 3D and 4D MR Angiography Using Arterial Spin Labeling: Technical Considerations.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2020Review
- Risk factors for hemorrhage of brain arteriovenous malformation.CNS neuroscience & therapeutics · 2019Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
purposeNoncontrast enhanced dynamic magnetic resonance angiography delineates the pattern of dynamic blood flow of the cerebral vasculature. A model-free solution was proposed to quantify arterial blood flow (aBF) by using the monotonic property of the residual function. THEORY AND
methodsAnalytical simulations and in-vivo studies were performed to evaluate the performance of the proposed method by comparing the aBF values generated from the proposed and conventional singular value decomposition methods. The aBF values were compared with blood flow velocity measured by 2D phase contrast MRI, and compared between balanced steady-state free precession-based radial and spoiled GRE-based Cartesian acquisitions. Hemodynamic parametric maps were generated in 1 patient with arteriovenous malformation.
resultsThe proposed method generates reliable aBF measurement at different signal-to-noise ratio levels, whereas overestimation/underestimation of aBF was observed when a high/low threshold was applied in the singular value decomposition method. Average aBF in large vascular branches was 214.4 and 214.5 mL/mL/min with radial and Cartesian acquisitions, respectively. Significant correlations were found between aBF and blood flow velocity measured by phase contrast MRI (P = 0.0008), and between Cartesian and radial acquisitions (P < 0.0001). Altered hemodynamics were observed at the lesion site of the arteriovenous malformation patient.
conclusionA robust analytical solution was proposed for quantifying aBF. This model-free method is robust to noise, and its clinical value in the diagnosis of cerebrovascular disorders awaits further evaluation.
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