Evidence map›Paper›PMID 33829542›Full record

ArticleMagnetic resonance in medicine2021

Toward more robust and reproducible diffusion kurtosis imaging.

Rafael N Henriques, Sune N Jespersen, Derek K Jones, Jelle Veraart

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  10. Surface-based Analyses of Diffusional Kurtosis Imaging in Amyotrophic Lateral Sclerosis: Relationship with Onset Subtypes.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
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  17. Imaging of the superficial white matter in health and disease.Imaging neuroscience (Cambridge, Mass.) · 2024
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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

4 authors.

Rafael N HenriquesChampalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.
Sune N JespersenCenter of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Derek K JonesCUBRIC, School of Psychology, Cardiff University, Cardiff, UK.
Jelle VeraartCenter for Biomedical Imaging, New York University Grossman School of Medicine, New York, NY, USA.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
Mesoscopic Biomarkers of Neurodegeneration with Diffusion MRIR01NS088040 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2014 to 2023
$5.2M
Resolving Fine Architectures of Human Gray Matter with Ultra-High-Resolution Diffusion MRIR01EB025133 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GE, YULIN, ZHANG, JIANGYANG · 2017 to 2018
$1.3M
Engineering and Physical Sciences Research Council EP/M029778/1NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB025133NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS088040Wellcome TrustWellcome Trust 096646/Z/11/ZWellcome Trust 104943/Z/14/Z
6 · The paper itself

Abstract

purposeThe general utility of diffusion kurtosis imaging (DKI) is challenged by its poor robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis values. THEORY AND

methodsA robust scalar kurtosis index can be estimated from powder-averaged diffusion-weighted data. We introduce a novel DKI estimator that uses this scalar kurtosis index as a proxy for the mean kurtosis to regularize the fit.

resultsThe regularized DKI estimator improves the robustness and reproducibility of the kurtosis metrics and results in parameter maps with enhanced quality and contrast.

conclusionOur novel DKI estimator promotes the wider use of DKI in clinical research and potentially diagnostics by improving the reproducibility and precision of DKI fitting and, as such, enabling enhanced visual, quantitative, and statistical analyses of DKI parameters.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingBenchmarkingDiffusionReproducibility of Resultsdiffusion MRIDKIkurtosisparameter estimationrobustness

Identifiers

PMID33829542
PMCPMC8199974

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Registered trials

None linked

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.