Evidence map›Paper›PMID 42487225›Full record

ArticleMagnetic resonance in medicine2026

Flow 2.0: A Standardized Toolbox for Real-Time Phase-Contrast MRI of Neurofluid Dynamics.

Pan Liu, Olivier Balédent

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Pan LiuMedical Image Processing Department, CHU Amiens-Picardie University Hospital, Amiens, France.ORCID https://orcid.org/0000-0003-0559-6432
Olivier BalédentMedical Image Processing Department, CHU Amiens-Picardie University Hospital, Amiens, France.

Funding

Agence Nationale de la Recherche 10-EQPX-0001Agence Nationale de la Recherche ANR-18-CE45-0014Agence Nationale de la Recherche ANR-23-CE18-0026
6 · The paper itself

Abstract

purposeReal-time phase-contrast MRI (RT-PC) enables continuous quantification of physiological flow dynamics across multiple temporal frequencies, but its broader application is limited by complex and fragmented post-processing workflows. We developed Flow 2.0, a standardized toolbox for RT-PC designed to integrate segmentation, flow quantification, visualization, and multi-frequency signal analysis within a unified environment. THEORY AND

methodsFlow 2.0 integrates automated ROI segmentation, background phase correction, velocity aliasing correction, interactive waveform visualization, cardiac cycle reconstruction, and Hermitian-preserving frequency-domain processing. A phase-resolved respiratory modulation module enables systematic evaluation of respiratory influences through temporal phase shifting and cycle-based multi-parameter analysis. The framework was demonstrated using representative RT-PC datasets acquired under free and sustained deep breathing conditions.

resultsAutomated processing of 500-frame RT-PC datasets was completed within seconds while preserving signal phase integrity. Cardiac cycle reconstruction and respiratory phase classification were consistently applied across acquisition conditions. The phase-resolved analysis module enabled visualization and quantification of respiratory modulation across multiple flow-derived parameters, including mean flow, stroke volume, and cardiac-related metrics.

conclusionFlow 2.0 provides a standardized and extensible toolbox for RT-PC MRI, enabling reproducible, phase-resolved, and multi-parametric analysis of neurofluid dynamics within a unified processing environment.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingAlgorithmsComputer SystemsHeartHumansReproducibility of ResultsRespirationSignal Processing, Computer-AssistedSoftwarecardiorespiratory couplingneurofluid dynamicsphase‐resolved analysisreal‐time phase‐contrast MRIRT‐PC

Identifiers

PMID42487225
PMCPMC13527278

What Socratic holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.