Evidence map›Paper›PMID 37582214›Full record

ArticleMagnetic resonance in medicine2023

A 128-channel receive array for cortical brain imaging at 7 T.

Bernhard Gruber, Jason P Stockmann, Azma Mareyam, Boris Keil, Berkin Bilgic, Yulin Chang, Ehsan Kazemivalipour, Alexander J S Beckett, An T Vu, David A Feinberg and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 22 citations in OpenAlex.

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  14. Quo Vadis MRI?Zeitschrift fur medizinische Physik · 2025
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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.

Bernhard GruberAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.ORCID 0000-0003-4901-5732
Jason P StockmannAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.ORCID 0000-0001-8454-5347
Azma MareyamAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.ORCID 0000-0002-2893-7386
Boris KeilInstitute of Medical Physics and Radiation Protection, Department of Life Science Engineering, Mittelhessen University of Applied Sciences, Giessen, Germany.ORCID 0000-0003-0805-8330
Berkin BilgicAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.ORCID 0000-0002-9080-7865
Yulin ChangSiemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA.
Ehsan KazemivalipourAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.ORCID 0000-0003-4221-2397
Alexander J S BeckettAdvanced MRI Technologies, Sebastopol, California, USA.ORCID 0000-0002-7123-9559
An T VuRadiology, University of California, San Francisco, California, USA.ORCID 0000-0003-2463-7789
David A FeinbergAdvanced MRI Technologies, Sebastopol, California, USA.
Lawrence L WaldAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.ORCID 0000-0001-8278-6307
Harvard University · USAdvanced MRI Technologies (United States) · USPhilipps University of Marburg · DEUniversity of California, San Francisco · US

Funding

MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
Open-source software and hardware tools for local B0 field controlU24EB028984 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI STOCKMANN, JASON P · 2019 to 2021
$964k
Improved imaging of deep brain nuclei with 7 Tesla MRI using comprehensive magnetic field monitoringR00EB021349 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI STOCKMANN, JASON P · 2018 to 2020
$747k
NIBIB NIH HHS R00 EB021349NIBIB NIH HHS U01 EB025162NIBIB NIH HHS U24 EB028984
6 · The paper itself

Abstract

purposeA 128-channel receive-only array for brain imaging at 7 T was simulated, designed, constructed, and tested within a high-performance head gradient designed for high-resolution functional imaging.

methodsThe coil used a tight-fitting helmet geometry populated with 128 loop elements and preamplifiers to fit into a 39 cm diameter space inside a built-in gradient. The signal-to-noise ratio (SNR) and parallel imaging performance (1/g) were measured in vivo and simulated using electromagnetic modeling. The histogram of 1/g factors was analyzed to assess the range of performance. The array's performance was compared to the industry-standard 32-channel receive array and a 64-channel research array.

resultsIt was possible to construct the 128-channel array with body noise-dominated loops producing an average noise correlation of 5.4%. Measurements showed increased sensitivity compared with the 32-channel and 64-channel array through a combination of higher intrinsic SNR and g-factor improvements. For unaccelerated imaging, the 128-channel array showed SNR gains of 17.6% and 9.3% compared to the 32-channel and 64-channel array, respectively, at the center of the brain and 42% and 18% higher SNR in the peripheral brain regions including the cortex. For R = 5 accelerated imaging, these gains were 44.2% and 24.3% at the brain center and 86.7% and 48.7% in the cortex. The 1/g-factor histograms show both an improved mean and a tighter distribution by increasing the channel count, with both effects becoming more pronounced at higher accelerations.

conclusionThe experimental results confirm that increasing the channel count to 128 channels is beneficial for 7T brain imaging, both for increasing SNR in peripheral brain regions and for accelerated imaging.

Indexed as

BrainMagnetic Resonance ImagingEquipment DesignNeuroimagingPhantoms, ImagingSignal-To-Noise Ratiocortical imaginghigh-field MR phased array coilsneuroimagingparallel imagingreceive coilssignal to noise ratio

Identifiers

PMID37582214
PMCPMC10543549
OpenAlexW4385851381

What OpenQuestion holds

Textmetadata
LicenceTDM
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.