Evidence map›Paper›PMID 27526996›Full record

ArticleNature communications2016

Multiparametric imaging with heterogeneous radiofrequency fields.

Martijn A Cloos, Florian Knoll, Tiejun Zhao, Kai T Block, Mary Bruno, Graham C Wiggins, Daniel K Sodickson

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

103 citing papers in PubMed.

  1. Self-calibrated BMagnetic resonance in medicine · 2026
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  2. Repeatability of SimultaneousNMR in biomedicine · 2026
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  8. Magnetization transfer explains most of the TMagnetic resonance in medicine · 2025
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  11. Development of a Double TunedNMR in biomedicine · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review

43 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

7 authors.

Martijn A CloosBernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, New York 10016, USA.
Florian KnollBernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, New York 10016, USA.
Tiejun ZhaoBernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, New York 10016, USA.
Kai T BlockBernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, New York 10016, USA.
Mary BrunoBernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, New York 10016, USA.
Graham C WigginsBernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, New York 10016, USA.
Daniel K SodicksonBernard and Irene Schwartz Center for Biomedical Imaging, Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, New York 10016, USA.

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
RF Technology Innovation for Advancing High Field MR.R01EB011551 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI COLLINS, CHRISTOPHER M · 2011 to 2014
$2.7M
Rapid multiparametric assessment of hip cartilage with MR fingerprintingR21EB020096 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LATTANZI, RICCARDO · 2015 to 2016
$466k
NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB011551NIBIB NIH HHS R21 EB020096
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) has become an unrivalled medical diagnostic technique able to map tissue anatomy and physiology non-invasively. MRI measurements are meticulously engineered to control experimental conditions across the sample. However, residual radiofrequency (RF) field inhomogeneities are often unavoidable, leading to artefacts that degrade the diagnostic and scientific value of the images. Here we show that, paradoxically, these artefacts can be eliminated by deliberately interweaving freely varying heterogeneous RF fields into a magnetic resonance fingerprinting data-acquisition process. Observations made based on simulations are experimentally confirmed at 7 Tesla (T), and the clinical implications of this new paradigm are illustrated with in vivo measurements near an orthopaedic implant at 3T. These results show that it is possible to perform quantitative multiparametric imaging with heterogeneous RF fields, and to liberate MRI from the traditional struggle for control over the RF field uniformity.

Indexed as

Radio WavesArtifactsElectromagnetic FieldsHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPhantoms, ImagingReproducibility of Results

Identifiers

PMID27526996
PMCPMC4990694

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.