Evidence map›Paper›PMID 40720636›Full record

ArticleMagnetic resonance in medicine2025

Enhanced spectral response in frequency-dependent diffusion measurements using a linear encoding model.

Eric Seth Michael, Franciszek Hennel, Klaas Paul Pruessmann

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Eric Seth MichaelInstitute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-2513-4254
Franciszek HennelInstitute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0043-9921
Klaas Paul PruessmannInstitute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0009-8362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo devise a more comprehensive quantitative representation for spectral encodings in frequency-dependent diffusion measurements for improved estimation of D(ω). THEORY AND

methodsWhereas a spectral diffusion measurement is typically represented by a Dirac delta function at a single attributed frequency, spectral response is represented here by the encoding power in |Q(ω)|

resultsIn vivo D(ω) determined using the proposed encoding strategy were found to increase with increasing frequency and could be mapped to spectral responses more spectrally selective than those characteristic of single-frequency attribution. In turn, simulated measurements demonstrated that the linear encoding model permitted D(ω) estimation with improved accuracy, especially for more nonlinear D(ω), at the expense of reduced precision, particularly for narrower frequency intervals.

conclusionBy devising a more holistic representation paradigm for frequency-dependent diffusion measurements, D(ω) can be recovered with higher fidelity.

Indexed as

AlgorithmsBrainDiffusion Magnetic Resonance ImagingImage EnhancementImage Interpretation, Computer-AssistedComputer SimulationHumansLinear ModelsReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-Assisteddiffusion MRIfrequency‐dependent diffusionoscillating gradientspectral response

Identifiers

PMID40720636
PMCPMC12501664

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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 OpenQuestion graph.