Evidence map›Paper›PMID 34272898›Full record

ArticleMagnetic resonance in medicine2021

Displacement current distribution on a high dielectric constant helmet and its effect on RF field at 10.5 T (447 MHz).

Navid P Gandji, Christopher T Sica, Michael T Lanagan, Myung-Kyun Woo, Lance DelaBarre, Jerahmie Radder, Bei Zhang, Riccardo Lattanzi, Gregor Adriany, Kamil Ugurbil 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Navid P GandjiCenter for NMR Research, Departments of Neurosurgery and Radiology, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania, USA.ORCID 0000-0002-0417-6471
Christopher T SicaCenter for NMR Research, Departments of Neurosurgery and Radiology, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania, USA.ORCID 0000-0002-9714-921X
Michael T LanaganDepartment of Engineering Science and Mechanics, Pennsylvania State University, State College, Pennsylvania, USA.
Myung-Kyun WooCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Lance DelaBarreCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Jerahmie RadderCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Bei ZhangUT Southwestern Medical Center, Advance Imaging Research Center, Dallas, Texas, USA.ORCID 0000-0002-9718-1594
Riccardo LattanziCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA.
Gregor AdrianyCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-6428-9005
Kamil UgurbilCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
Qing X YangCenter for NMR Research, Departments of Neurosurgery and Radiology, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania, 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
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
NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41 EB027061NIBIB NIH HHS U01 EB025144
6 · The paper itself

Abstract

purposeInvestigating the designs and effects of high dielectric constant (HDC) materials in the shape of a conformal helmet on the enhancement of RF field and reduction of specific absorption rate at 10.5 T for human brain studies.

methodsA continuous and a segmented four-piece HDC helmet fit to a human head inside an eight-channel fractionated-dipole array were constructed and studied with a phantom and a human head model using computer electromagnetic simulations. The simulated transmit efficiency and receive sensitivity were experimentally validated using a phantom with identical electric properties and helmet-coil configurations of the computer model. The temporal and spatial distributions of displacement currents on the HDC helmets were analyzed.

resultsUsing the continuous HDC helmet, simulation results in the human head model demonstrated an average transmit efficiency enhancement of 66%. A propagating displacement current was induced on the continuous helmet, leading to an inhomogeneous RF field enhancement in the brain. Using the segmented four-piece helmet design to reduce this effect, an average 55% and 57% enhancement in the transmit efficiency and SNR was achieved in human head, respectively, along with 8% and 28% reductions in average and maximum local specific absorption rate.

conclusionThe HDC helmets enhanced the transmit efficiency and SNR of the dipole array coil in the human head at 10.5 T. The segmentation of the helmet to disrupt the continuity of circumscribing displacement currents in the helmet produced a more uniform distribution of the transmit field and lower specific absorption rate in the human head compared with the continuous helmet design.

Indexed as

Head Protective DevicesMagnetic Resonance ImagingBrainEquipment DesignHumansPhantoms, ImagingRadio Waveshigh dielectric constant materialSAR reductionSNR enhancementultrahigh-field MRI

Identifiers

PMID34272898
PMCPMC9366929

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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.