Evidence map›Paper›PMID 38037641›Full record

ArticleApplied magnetic resonance2023

In Vivo Myelin Water Quantification Using Diffusion-Relaxation Correlation MRI: A Comparison of 1D and 2D Methods.

Sebastian Endt, Maria Engel, Emanuele Naldi, Rodolfo Assereto, Malwina Molendowska, Lars Mueller, Claudio Mayrink Verdun, Carolin M Pirkl, Marco Palombo, Derek K Jones and 1 more

Abstract read
In one paragraph

Article in Applied magnetic resonance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Field Strength-Dependent White Matter RMagnetic resonance in medicine · 2026
    Article
  3. Article
  4. Article
  5. 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

11 authors.

Sebastian EndtTechnical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-2062-936X
Maria EngelCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0002-0143-1908
Emanuele NaldiTechnische Universität Braunschweig, Braunschweig, Germany.ORCID https://orcid.org/0000-0002-2437-2832
Rodolfo AsseretoUniversität Graz, Graz, Austria.ORCID https://orcid.org/0009-0004-1292-7214
Malwina MolendowskaCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0001-8540-8424
Lars MuellerCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0002-9605-9183
Claudio Mayrink VerdunTechnical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-2079-797X
Carolin M PirklGE HealthCare, Munich, Germany.ORCID https://orcid.org/0000-0002-5759-5290
Marco PalomboCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0003-4892-7967
Derek K JonesCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0003-4409-8049
Marion I MenzelTechnical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-0087-9134

Funding

Wellcome Trust 096646Wellcome Trust 104943Wellcome Trust 219536
6 · The paper itself

Abstract

Multidimensional Magnetic Resonance Imaging (MRI) is a versatile tool for microstructure mapping. We use a diffusion weighted inversion recovery spin echo (DW-IR-SE) sequence with spiral readouts at ultra-strong gradients to acquire a rich diffusion-relaxation data set with sensitivity to myelin water. We reconstruct 1D and 2D spectra with a two-step convex optimization approach and investigate a variety of multidimensional MRI methods, including 1D multi-component relaxometry, 1D multi-component diffusometry, 2D relaxation correlation imaging, and 2D diffusion-relaxation correlation spectroscopic imaging (DR-CSI), in terms of their potential to quantify tissue microstructure, including the myelin water fraction (MWF). We observe a distinct spectral peak that we attribute to myelin water in multi-component T1 relaxometry, T1-T2 correlation, T1-D correlation, and T2-D correlation imaging. Due to lower achievable echo times compared to diffusometry, MWF maps from relaxometry have higher quality. Whilst 1D multi-component T1 data allows much faster myelin mapping, 2D approaches could offer unique insights into tissue microstructure and especially myelin diffusion.

Indexed as

Correlation imagingDiffusometryMicrostructureMulti-componentMultidimensionalMulti-exponentialMultiparametricMWF mappingRelaxometry

Identifiers

PMID38037641
PMCPMC10682074

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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.