Evidence map›Paper›PMID 34411331›Full record

ReviewMagnetic resonance in medicine2021

Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.

Paddy J Slator, Marco Palombo, Karla L Miller, Carl-Fredrik Westin, Frederik Laun, Daeun Kim, Justin P Haldar, Dan Benjamini, Gregory Lemberskiy, Joao P de Almeida Martins and 1 more

Abstract readReview
In one paragraph

Review 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 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. MultidimensionalbioRxiv : the preprint server for biology · 2026
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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

11 authors.

Paddy J SlatorCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.ORCID 0000-0001-6967-989X
Marco PalomboCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Karla L MillerWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Carl-Fredrik WestinDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Frederik LaunInstitute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Daeun KimMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Justin P HaldarMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Dan BenjaminiThe Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
Gregory LemberskiyCenter for Biomedical Imaging, NYU School of Medicine, New York, NY, USA.
Joao P de Almeida MartinsDivision of Physical Chemistry, Department of Chemistry, Lund University, Lund, Sweden.
Jana HutterCentre for Biomedical Engineering, School of Biomedical Engineering and Imaging, King's College London, London, UK.

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
Next generation in-vivo diffusion imaging at submillimeter resolutionR01MH116173 · NIMH · STANFORD UNIVERSITY · PI Yogesh Rathi, Kawin Setsompop · 2018 to 2026
$6.2M
Interactive software for semiautomated analysis of structural brain imagesR01NS074980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEAHY, RICHARD M, SHATTUCK, DAVID W · 2011 to 2021
$5.0M
Structure and function of the placenta from implantation to delivery: a next generation MRI approachU01HD087202 · NICHD · KING'S COLLEGE LONDON · PI ALEXANDER, DANIEL, ALJABAR, PAUL · 2015 to 2015
$3.2M
Medical Research Council MR/T018119/1Medical Research Council MR/T020296/1NIBIB NIH HHS P41 EB015902NICHD NIH HHS U01 HD087202NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH116173NINDS NIH HHS R01 NS074980Wellcome TrustWellcome Trust 203148/Z/16/Z
6 · The paper itself

Abstract

Microstructure imaging seeks to noninvasively measure and map microscopic tissue features by pairing mathematical modeling with tailored MRI protocols. This article reviews an emerging paradigm that has the potential to provide a more detailed assessment of tissue microstructure-combined diffusion-relaxometry imaging. Combined diffusion-relaxometry acquisitions vary multiple MR contrast encodings-such as b-value, gradient direction, inversion time, and echo time-in a multidimensional acquisition space. When paired with suitable analysis techniques, this enables quantification of correlations and coupling between multiple MR parameters-such as diffusivity,

Indexed as

BrainDiffusion Magnetic Resonance ImagingDiffusionMagnetic Resonance ImagingModels, Theoreticaldiffusionmultidimensional MRIquantitative MRIrelaxometry

Identifiers

PMID34411331
PMCPMC8568657

What OpenQuestion holds

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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.