Evidence map›Paper›PMID 30834594›Full record

ArticleMagnetic resonance in medicine2019

High-dimensionality undersampled patch-based reconstruction (HD-PROST) for accelerated multi-contrast MRI.

Aurélien Bustin, Gastão Lima da Cruz, Olivier Jaubert, Karina Lopez, René M Botnar, Claudia Prieto

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 136 citations in OpenAlex.

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  15. Cardiac MR Fingerprinting: Overview, Technical Developments, and Applications.Journal of magnetic resonance imaging : JMRI · 2024
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  20. Tensor Methods in Biomedical Image Analysis.Journal of medical signals and sensors · 2024
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3 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Aurélien BustinDepartment of Biomedical Engineering, School of Imaging Sciences & Biomedical Engineering, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0002-2845-8617
Gastão Lima da CruzDepartment of Biomedical Engineering, School of Imaging Sciences & Biomedical Engineering, King's College London, King's Health Partners, London, United Kingdom.
Olivier JaubertDepartment of Biomedical Engineering, School of Imaging Sciences & Biomedical Engineering, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0002-7854-4150
Karina LopezDepartment of Biomedical Engineering, School of Imaging Sciences & Biomedical Engineering, King's College London, King's Health Partners, London, United Kingdom.
René M BotnarDepartment of Biomedical Engineering, School of Imaging Sciences & Biomedical Engineering, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0003-2811-2509
Claudia PrietoDepartment of Biomedical Engineering, School of Imaging Sciences & Biomedical Engineering, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0003-4602-2523
King's College London · GBPontificia Universidad Católica de Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a new high-dimensionality undersampled patch-based reconstruction (HD-PROST) for highly accelerated 2D and 3D multi-contrast MRI.

methodsHD-PROST jointly reconstructs multi-contrast MR images by exploiting the highly redundant information, on a local and non-local scale, and the strong correlation shared between the multiple contrast images. This is achieved by enforcing multi-dimensional low-rank in the undersampled images. 2D magnetic resonance fingerprinting (MRF) phantom and in vivo brain acquisitions were performed to evaluate the performance of HD-PROST for highly accelerated simultaneous T

resultsIn the 2D MRF phantom study, HD-PROST provided accurate and precise estimation of the T

conclusionHD-PROST enables multi-contrast 2D and 3D MR images in a short acquisition time without compromising image quality. Ultimately, this technique may increase the potential of conventional parameter mapping.

Indexed as

AdultAlgorithmsBrainFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMalePhantoms, Imagingcompressed-sensinglow-rank tensor decompositionmagnetization transfer contrastMR fingerprintingmulti-contrast MRIpatch-based reconstruction

Identifiers

PMID30834594
PMCPMC6646908
OpenAlexW2918763530

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.