Evidence map›Paper›PMID 33780032›Full record

ArticleMagnetic resonance in medicine2021

A self-decoupled 32-channel receive array for human-brain MRI at 10.5 T.

Nader Tavaf, Russell L Lagore, Steve Jungst, Shajan Gunamony, Jerahmie Radder, Andrea Grant, Steen Moeller, Edward Auerbach, Kamil Ugurbil, Gregor Adriany and 1 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. A Quantitative Comparison ofSensors (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. High impedance quadrature receivers array for magnetic resonance skin imaging at 7T.Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition · 2023
    Article
  8. Article
  9. Article
  10. Article
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  12. ULTRAHIGH FIELD and ULTRAHIGH RESOLUTION fMRI.Current opinion in biomedical engineering · 2021
    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.

Nader TavafCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-3002-3794
Russell L LagoreCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Steve JungstCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Shajan GunamonyCenter for Cognitive Neuroimaging, University of Glasgow, Glasgow, Scotland.ORCID 0000-0002-3146-6079
Jerahmie RadderCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Andrea GrantCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Steen MoellerCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-1698-7260
Edward AuerbachCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-4553-1545
Kamil UgurbilCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Gregor AdrianyCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Pierre-Francois Van de MoorteleCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-6941-5947

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger · 2019 to 2026
$11.7M
Elementary Neuronal Ensembles to Whole Brain Networks: Ultrahigh Resolution Imaging of Function and Connectivity in Humans - SUPPLEMENTU01EB025144 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2017 to 2022
$9.7M
CONSOLE FOR 10.5 TESLA WHOLE BODY MRI SYSTEMS10RR029672 · NCRR · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2010 to 2010
$7.8M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
A Humanized Swine Model for Alzheimer's DiseaseR43AG055178 · NIA · RECOMBINETICS, INC. · PI WATSON, ADRIENNE LEIGH · 2016 to 2016
$358k
NCRR NIH HHS S10 RR029672NIA NIH HHS R43 AG055178NIBIB NIH HHS P41 EB027061NIBIB NIH HHS U01 EB025144NIH HHS P41 EB027061NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

purposeReceive array layout, noise mitigation, and B

methodsA self-decoupled 32-channel receive array for human brain imaging at 10.5 T (10.5T-32Rx), consisting of 31 loops and one cloverleaf element, was co-designed and built in tandem with a 16-channel dual-row loop transmitter. Novel receive array design and self-decoupling techniques were implemented. Parallel imaging performance, in terms of SNR and noise amplification (g-factor), of the 10.5T-32Rx was compared with the performance of an industry-standard 32-channel receiver at 7 T (7T-32Rx) through experimental phantom measurements.

resultsCompared with the 7T-32Rx, the 10.5T-32Rx provided 1.46 times the central SNR and 2.08 times the peripheral SNR. Minimum inverse g-factor value of the 10.5T-32Rx (min[1/g] = 0.56) was 51% higher than that of the 7T-32Rx (min[1/g] = 0.37) with R = 4 × 4 2D acceleration, resulting in significantly enhanced parallel-imaging performance at 10.5 T compared with 7 T. The g-factor values of 10.5 T-32 Rx were on par with those of a 64-channel receiver at 7 T (eg, 1.8 vs 1.9, respectively, with R = 4 × 4 axial acceleration).

conclusionExperimental measurements demonstrated effective self-decoupling of the receive array as well as substantial gains in SNR and parallel-imaging performance at 10.5 T compared with 7 T.

Indexed as

BrainMagnetic Resonance ImagingAccelerationEquipment DesignHumansPhantoms, ImagingSignal-To-Noise Rationoise correlationparallel imagingreceive arrayRF coilsself-decouplingultrahigh-field MRI

Identifiers

PMID33780032
PMCPMC8184625

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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.