Evidence map›Paper›PMID 38649922›Full record

ArticleMagnetic resonance in medicine2024

Performance of receive head arrays versus ultimate intrinsic SNR at 7 T and 10.5 T.

Bei Zhang, Jerahmie Radder, Ilias Giannakopoulos, Andrea Grant, Russell Lagore, Matt Waks, Nader Tavaf, Pierre-Francois Van de Moortele, Gregor Adriany, Alireza Sadeghi-Tarakameh and 3 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2024. 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. Magnetic resonance imaging.Science advances · 2026
    Review
  3. Article
  4. Article
  5. 10.5 T In Vivo Head Imaging With Universal RF Shimming.Magnetic resonance in medicine · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

13 authors.

Bei ZhangAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-9718-1594
Jerahmie RadderCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Ilias GiannakopoulosCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0003-2180-5898
Andrea GrantCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Russell LagoreCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Matt WaksCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Nader TavafCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-3002-3794
Pierre-Francois Van de MoorteleCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-6941-5947
Gregor AdrianyCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-6428-9005
Alireza Sadeghi-TarakamehCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-5718-6553
Yigitcan EryamanCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Riccardo LattanziCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-8240-5903
Kamil UğurbilCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-8475-9334

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 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
Novel Software Tools for Rational Design and Assessment of MR CoilsR01EB024536 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Riccardo Lattanzi · 2017 to 2026
$5.1M
Safe Magnetic Resonance Imaging of Patients with Deep Brain Stimulation SystemsR01NS115180 · NINDS · UNIVERSITY OF MINNESOTA · PI ERYAMAN, YIGITCAN · 2020 to 2024
$1.9M
Cancer Prevention and Research Institute of Texas RR180056NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41 EB027061NIBIB NIH HHS R01 EB024536NIBIB NIH HHS U01 EB025144NIH HHS NIH P41 EB017183NIH HHS NIH P41 EB027061NIH HHS NIH R01 EB024536NIH HHS NIH U01 EB025144NINDS NIH HHS R01 NS115180
6 · The paper itself

Abstract

purposeWe examined magnetic field dependent SNR gains and ability to capture them with multichannel receive arrays for human head imaging in going from 7 T, the most commonly used ultrahigh magnetic field (UHF) platform at the present, to 10.5 T, which represents the emerging new frontier of >10 T in UHFs.

methodsElectromagnetic (EM) models of 31-channel and 63-channel multichannel arrays built for 10.5 T were developed for 10.5 T and 7 T simulations. A 7 T version of the 63-channel array with an identical coil layout was also built. Array performance was evaluated in the EM model using a phantom mimicking the size and electrical properties of the human head and a digital human head model. Experimental data was obtained at 7 T and 10.5 T with the 63-channel array. Ultimate intrinsic SNR (uiSNR) was calculated for the two field strengths using a voxelized cloud of dipoles enclosing the phantom or the digital human head model as a reference to assess the performance of the two arrays and field depended SNR gains.

resultsuiSNR calculations in both the phantom and the digital human head model demonstrated SNR gains at 10.5 T relative to 7 T of 2.6 centrally, ˜2 at the location corresponding to the edge of the brain, ˜1.4 at the periphery. The EM models demonstrated that, centrally, both arrays captured ˜90% of the uiSNR at 7 T, but only ˜65% at 10.5 T, leading only to ˜2-fold gain in array SNR in going from 7 to 10.5 T. This trend was also observed experimentally with the 63-channel array capturing a larger fraction of the uiSNR at 7 T compared to 10.5 T, although the percentage of uiSNR captured were slightly lower at both field strengths compared to EM simulation results.

conclusionsMajor uiSNR gains are predicted for human head imaging in going from 7 T to 10.5 T, ranging from ˜2-fold at locations corresponding to the edge of the brain to 2.6-fold at the center, corresponding to approximately quadratic increase with the magnetic field. Realistic 31- and 63-channel receive arrays, however, approach the central uiSNR at 7 T, but fail to do so at 10.5 T, suggesting that more coils and/or different type of coils will be needed at 10.5 T and higher magnetic fields.

Indexed as

HeadMagnetic Resonance ImagingPhantoms, ImagingSignal-To-Noise RatioBrainComputer SimulationEquipment DesignHumansImage Processing, Computer-Assistedelectromagnetic modelsmultichannel receive arrayultimate intrinsic signal‐to‐noise ratioultrahigh field MRI

Identifiers

PMID38649922
PMCPMC11209800

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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.