Evidence map›Paper›PMID 40953222›Full record

ArticleMagnetic resonance in medicine2026

Comparison of cardiac diffusion MRI using multiple prospective respiratory motion correction techniques.

Stephen Jermy, Aaron Hess, Zakariye Ashkir, Betty Raman, Ian Burger, Francesca Little, Ntobeko Ntusi, Ernesta Meintjes, Elizabeth M Tunnicliffe

Abstract readComparative Study
PubMed Full text at PMC Publisher
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 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

9 authors.

Stephen JermyDivision of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-7045-3863
Aaron HessWellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-9289-5619
Zakariye AshkirOxford Centre for Magnetic Resonance Research (OCMR), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-4260-7420
Betty RamanOxford Centre for Magnetic Resonance Research (OCMR), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-1239-9608
Ian BurgerDivision of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa.
Francesca LittleDepartment of Statistical Sciences, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-5917-9928
Ntobeko NtusiDepartment of Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-2347-7883
Ernesta MeintjesDivision of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-0781-3632
Elizabeth M TunnicliffeOxford Centre for Magnetic Resonance Research (OCMR), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-6945-5201

Funding

British Heart Foundation Clinical Research Training fellowship FS/CRTF/21/24144National Research Foundation 48337Newton FundNIHR Oxford Biomedical Research CentreWellcome Career Development Award fellowship 302210/Z/23/ZWellcome Trust
6 · The paper itself

Abstract

purposeA novel prospective motion correction control system with slice tracking (MNav-CoS) was compared with three other prospective respiratory motion correction techniques in performing free-breathing cardiovascular diffusion tensor imaging (cDTI) acquisitions.

methodsTen healthy volunteers underwent cDTI using an M2SE sequence. The performance of the proposed MNav-CoS was compared with three respiratory compensation techniques: multiple breath-holds (BH), free breathing with respiratory gating (Gate), and free breathing with single navigator slice tracking (Nav). Data for five diffusion weightings were acquired in a single mid-ventricular slice in end systole. MD, FA, and HA maps were calculated for each technique and combinations of low and high b-values. Data from the respiratory navigators were used to estimate the total amount of cardiac through-plane motion during free breathing.

resultsThe metrics derived from the diffusion tensor for MNav-CoS with b

conclusionThe MNav-CoS technique performed comparably to other commonly used respiratory compensation techniques. Prospective respiratory motion compensation, such as the slice tracking used with MNav-CoS, is a useful tool that offers time-saving benefits and compensates for through-plane motion present during free breathing. These techniques may be beneficial for performing longer cDTI acquisitions providing increased utility in a clinical context.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHeartImage Processing, Computer-AssistedRespiratory-Gated Imaging TechniquesAdultAlgorithmsArtifactsFemaleHealthy VolunteersHumansMaleMotionRespirationYoung Adultcardiaccardiovascular diffusion tensor imagingcardiovascular magnetic resonancefree breathingmotion compensation

Identifiers

PMID40953222
PMCPMC12620169

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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.