Evidence map›Paper›PMID 32530064›Full record

ArticleMagnetic resonance in medicine2020

Combined simultaneous multislice bSSFP and compressed sensing for first-pass myocardial perfusion at 1.5 T with high spatial resolution and coverage.

Sarah McElroy, Giulio Ferrazzi, Muhummad Sohaib Nazir, Karl P Kunze, Radhouene Neji, Peter Speier, Daniel Stäb, Christoph Forman, Reza Razavi, Amedeo Chiribiri and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
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  7. High-resolution quantification of stress perfusion defects by cardiac magnetic resonance.European heart journal. Imaging methods and practice · 2024
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  17. Customizing native T1 mapping: The effects of compressed sensing, deep learning-based denoising, and high-resolution on measurement of native myocardial T1.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

11 authors at 4 institutions in 3 countries.

Sarah McElroySchool of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-4271-5931
Giulio FerrazziSchool of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0001-7449-4718
Muhummad Sohaib NazirSchool of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0003-2749-1033
Karl P KunzeMR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom.
Radhouene NejiSchool of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Peter SpeierMagnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany.ORCID 0000-0003-0449-1145
Daniel StäbMR Research Collaborations, Siemens Healthcare Pty Ltd, Melbourne, Australia.ORCID 0000-0002-5738-7803
Christoph FormanMagnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany.ORCID 0000-0002-8165-0640
Reza RazaviSchool of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0003-1065-3008
Amedeo ChiribiriSchool of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0003-3394-4289
Sébastien RoujolSchool of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-7146-0552
King's College London · GBSiemens Healthineers (Germany) · DESiemens (Australia) · AUSiemens (United Kingdom) · GB

Funding

British Heart Foundation PG/19/11/34243Department of HealthWellcome Trust 203148Wellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

purposeTo implement and evaluate a pseudorandom undersampling scheme for combined simultaneous multislice (SMS) balanced SSFP (bSSFP) and compressed-sensing (CS) reconstruction to enable myocardial perfusion imaging with high spatial resolution and coverage at 1.5 T.

methodsA prospective pseudorandom undersampling scheme that is compatible with SMS-bSSFP phase-cycling requirements and CS was developed. The SMS-bSSFP CS with pseudorandom and linear undersampling schemes were compared in a phantom. A high-resolution (1.4 × 1.4 mm

resultsIn phantom experiments, pseudorandom undersampling resulted in residual artifact (RMS error) reduction by a factor of 7 compared with linear undersampling. In vivo, the proposed sequence demonstrated higher perceived SNR (2.9 ± 0.3 vs. 2.2 ± 0.6, P = .04), improved sharpness (0.35 ± 0.03 vs. 0.32 ± 0.05, P = .01), and a higher number of diagnostic segments (100% vs. 94%, P = .03) compared with the conventional sequence. There were no significant differences between the sequences in terms of image quality (2.5 ± 0.4 vs. 2.8 ± 0.2, P = .08), upslope index (0.11 ± 0.02 vs. 0.10 ± 0.01, P = .3), or contrast ratio (3.28 ± 0.35 vs. 3.36 ± 0.43, P = .7).

conclusionA pseudorandom k-space undersampling compatible with SMS-bSSFP and CS reconstruction has been developed and enables cardiac MR perfusion imaging with increased spatial resolution and myocardial coverage, increased number of diagnostic segments and perceived SNR, and no difference in image quality, upslope index, and contrast ratio.

Indexed as

Magnetic Resonance ImagingMyocardial Perfusion ImagingArtifactsHumansImage Processing, Computer-AssistedPerfusionProspective Studiescompressed sensingmyocardial perfusionsimultaneous multislice

Identifiers

PMID32530064
PMCPMC7611375
OpenAlexW3034390756

What OpenQuestion holds

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LicenceCC BY
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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.