Evidence map›Paper›PMID 40953227›Full record

ArticleMagnetic resonance in medicine2026

Extending real-time MRI of the oral cavity using simultaneous multislice and compressed sensing.

Isaac Watson, Mike Angus, Elisa Zamboni, David Mitchell, Angelika Sebald, Aneurin J Kennerley

Abstract read
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

6 authors.

Isaac WatsonBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.ORCID https://orcid.org/0000-0002-4332-0835
Mike AngusSchool of Physics, Engineering & Technology, University of York, York, United Kingdom.
Elisa ZamboniSchool of Psychology, University of Nottingham, Nottingham, United Kingdom.
David MitchellYork Cross-disciplinary Centre for Systems Analysis, University of York, York, United Kingdom.
Angelika SebaldYork Cross-disciplinary Centre for Systems Analysis, University of York, York, United Kingdom.
Aneurin J KennerleyDepartment of Sports & Exercise Science, Manchester Metropolitan University, Manchester, United Kingdom.

Funding

British Association of Oral and Maxillofacial Surgeons Endowments Committee
6 · The paper itself

Abstract

purposeTo demonstrate a real-time MRI (rtMRI) sequence that can image multiple slices simultaneously and apply them to image the dynamics of the oral cavity. Specifically, we demonstrate the imaging of tongue movement, speech, and swallowing.

methodsWe developed a radial rtMRI sequence with multiband excitation. Two sampling schemes were explored: a golden-angle trajectory and a golden-angle trajectory adapted for simultaneous multislice acceleration. Additionally, we developed a compressed sensing reconstruction pipeline. Phantom and in vivo rtMRI data were acquired on a 3 T system using a standard head/neck coil.

resultsWe show that the proposed technique can acquire rtMRI videos at a range of temporal resolutions (up to 25 ms). Example applications of tongue movement, speech, and swallowing are shown. Additionally, we show that the sequence is robust to changes in slice distance and coil compression level.

conclusionCombining rtMRI with multiband excitation and compressed sensing reconstruction enables imaging of the oral cavity at high (up to 25 ms) temporal resolution.

Indexed as

Data CompressionImage Processing, Computer-AssistedMagnetic Resonance ImagingMouthAlgorithmsComputer SystemsDeglutitionHumansPhantoms, ImagingSpeechTonguecompressed sensingdynamic imagingradial samplingreal‐time MRIsimultaneous multislice

Identifiers

PMID40953227
PMCPMC12681314

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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.