Evidence map›Paper›PMID 41588787›Full record

ArticleMagnetic resonance in medicine2026

Modeling the Intermediate Flow Regime in Flow-Compensated Intravoxel Incoherent Motion MRI.

Louise Rosenqvist, Mikael Montelius, Isabella M Björkman-Burtscher, Elina Petersson, Maria Ljungberg, Oscar Jalnefjord

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

6 authors.

Louise RosenqvistDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-8937-023X
Mikael MonteliusDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Isabella M Björkman-BurtscherDepartment of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-9023-3363
Elina PeterssonDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Maria LjungbergDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Oscar JalnefjordDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0003-2741-5890

Funding

Åke Wiberg FoundationCancerfonden 211568 PjCancerfonden 243750 PjKungl. Vetenskaps- och Vitterhets-Samhället i GöteborgSahlgrenska University Hospitals Research FoundationsStiftelsen Assar Gabrielssons FondStiftelsen Jubileumsklinikens Forskningsfond mot Cancer 2022:424Swedish Governmental Funding of Clinical Research (ALF)
6 · The paper itself

Abstract

purposeThe intravoxel incoherent motion (IVIM) model is commonly used to separate the effects of motion related to diffusion and blood microcirculation (perfusion) on the MR signal. Depending on the encoding time (T), it is possible to probe the different temporal regimes of blood motion, which resemble a ballistic flow at short T and a pseudo-diffusion at long T. The purpose of this work was to derive an encoding-time-dependent analytical model for flow-compensated IVIM and to estimate the corresponding microvascular IVIM parameters in healthy brain. THEORY AND

methodsAn encoding-time-dependent analytical IVIM model was derived for flow-compensated/non-flow-compensated (FC/NC) double diffusion encoding (DDE) from the Langevin equation and validated using simulations. Eleven healthy participants were scanned to estimate microvascular IVIM parameters (blood velocity ν and blood correlation time τ) in healthy brain using the proposed model, with T = 50-100 ms.

resultsThe IVIM parameters were estimated to be τ = 123.1 ± 50 ms, ν = 1.51 ± 0.76 mm/s, perfusion fraction f = 4.75 ± 1.94%, and tissue diffusion coefficient D = 0.91 ± 0.32 μm

conclusionAn encoding-time-dependent analytical IVIM model is presented for FC/NC DDE. In vivo results and simulations indicate that IVIM experiments with encoding times typical for clinical MRI scanners probe an intermediate to ballistic blood flow regime in the brain.

Indexed as

BrainCerebrovascular CirculationImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAlgorithmsBlood Flow VelocityComputer SimulationFemaleHumansMaleMicrocirculationMotionYoung Adult

Identifiers

PMID41588787
PMCPMC13049275

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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 OpenQuestion graph.