ArticleInterface focus2025
Evaluating amplified magnetic resonance imaging as an input for computational fluid dynamics models of the cerebrospinal fluid.
Article in Interface focus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Unusual Synchronous Arbitrary-Gate Doppler Spectra Enable Intraoperative Hemodynamic Warning of Cerebral Hyperperfusion Syndrome on Moyamoya Disease.CNS neuroscience & therapeutics · 2026Article
- Pulsatile Brain Motion as a Marker of Brain Aging and Dementia: Insights from 3D q-aMRI.medRxiv : the preprint server for health sciences · 2025Article
- Evaluating amplified magnetic resonance imaging as an input for computational fluid dynamics models of the cerebrospinal fluid.Interface focus · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
Computational models that accurately capture cerebrospinal fluid (CSF) dynamics are valuable tools to study neurological disorders and optimize clinical treatments. While CSF dynamics interrelate with deformations of the ventricular volumes, these deformations have been simplified and even discarded in computational models because of the lack of detailed measurements. Amplified magnetic resonance imaging (aMRI) enables visualization of these complex deformations, but this technique has not been used for predicting CSF dynamics. To assess the feasibility of using aMRI as an input for computational fluid dynamics (CFD) models of the CSF, we deduced the amplified deformations of the cerebral ventricles from an aMRI dataset and imposed these deformations in our CFD model. Then, we compared the resulting CSF flow rates with those measured
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