Evidence map›Paper›PMID 34160718›Full record

ArticleMagma (New York, N.Y.)2021

Motion correction of free-breathing magnetic resonance renography using model-driven registration.

Dimitra Flouri, Daniel Lesnic, Constantina Chrysochou, Jehill Parikh, Peter Thelwall, Neil Sheerin, Philip A Kalra, David L Buckley, Steven P Sourbron

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  3. 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.

Dimitra FlouriDepartment of Applied Mathematics, University of Leeds, Leeds, UK. dimitra.flouri@kcl.ac.uk.ORCID http://orcid.org/0000-0002-8846-3573
Daniel LesnicDepartment of Applied Mathematics, University of Leeds, Leeds, UK.
Constantina ChrysochouDepartment of Renal Medicine, Salford Royal National Health Service Foundation Trust, Salford, UK.
Jehill ParikhTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Peter ThelwallTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Neil SheerinTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Philip A KalraDepartment of Renal Medicine, Salford Royal National Health Service Foundation Trust, Salford, UK.
David L BuckleyDepartment of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.
Steven P SourbronDepartment of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.

Funding

Engineering and Physical Sciences Research Council EP/K503071/1Kidney Research UK RP55/2012Wellcome TrustWellcome Trust 210182/Z/18/Z
6 · The paper itself

Abstract

introductionModel-driven registration (MDR) is a general approach to remove patient motion in quantitative imaging. In this study, we investigate whether MDR can effectively correct the motion in free-breathing MR renography (MRR). MATERIALS AND

methodsMDR was generalised to linear tracer-kinetic models and implemented using 2D or 3D free-form deformations (FFD) with multi-resolution and gradient descent optimization. MDR was evaluated using a kidney-mimicking digital reference object (DRO) and free-breathing patient data acquired at high temporal resolution in multi-slice 2D (5 patients) and 3D acquisitions (8 patients). Registration accuracy was assessed using comparison to ground truth DRO, calculating the Hausdorff distance (HD) between ground truth masks with segmentations and visual evaluation of dynamic images, signal-time courses and parametric maps (all data).

resultsDRO data showed that the bias and precision of parameter maps after MDR are indistinguishable from motion-free data. MDR led to reduction in HD (HD DISCUSSION: MDR provides effective motion correction of MRR in synthetic and patient data. Future work is needed to compare the performance against other more established methods.

Indexed as

Magnetic Resonance ImagingRadioisotope RenographyAlgorithmsHumansMagnetic Resonance SpectroscopyMotionRespirationDynamic contrast-enhanced MRIFree-form deformationImage registrationMagnetic resonance renographyModel-driven registrationMotion correctionQuantitative imaging

Identifiers

PMID34160718
PMCPMC8578117

What OpenQuestion holds

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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.