Evidence map›Paper›PMID 38767407›Full record

ArticleMagnetic resonance in medicine2024

Experimental validation of a PNS-optimized whole-body gradient coil.

Mathias Davids, Livia Vendramini, Valerie Klein, Natalie Ferris, Bastien Guerin, Lawrence L Wald

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025
    Review
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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

6 authors.

Mathias DavidsMartinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.ORCID 0000-0003-0217-9123
Livia VendraminiMartinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Valerie KleinMartinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.ORCID 0000-0002-7600-6172
Natalie FerrisHarvard Graduate Program in Biophysics, Harvard University, Cambridge, Massachusetts, USA.
Bastien GuerinMartinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Lawrence L WaldMartinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.

Funding

CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
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
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
A magnetic particle imager (MPI) for functional brain imaging in humansU01EB025121 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2017 to 2022
$6.1M
Mitigation of peripheral nerve stimulation (PNS) in MRIR01EB028250 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bastien Guerin · 2020 to 2026
$3.6M
Modeling, measurement and prediction of cardiac magneto-stimulation thresholdsR01EB033853 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bastien Guerin, Christopher T Nguyen · 2023 to 2026
$2.4M
NIBIB NIH HHS P41 EB030006NIBIB NIH HHS P41EB030006NIBIB NIH HHS R01 EB028250NIBIB NIH HHS R01EB028250NIBIB NIH HHS R01 EB033853NIBIB NIH HHS R01EB033853NIBIB NIH HHS U01 EB025121NIBIB NIH HHS U01EB025121NIBIB NIH HHS U01 EB025162NIBIB NIH HHS U01EB025162NIBIB NIH HHS U01 EB026996NIBIB NIH HHS U01EB026996
6 · The paper itself

Abstract

purposePeripheral nerve stimulation (PNS) limits the usability of state-of-the-art whole-body and head-only MRI gradient coils. We used detailed electromagnetic and neurodynamic modeling to set an explicit PNS constraint during the design of a whole-body gradient coil and constructed it to compare the predicted and experimentally measured PNS thresholds to those of a matched design without PNS constraints.

methodsWe designed, constructed, and tested two actively shielded whole-body Y-axis gradient coil winding patterns: YG1 is a conventional symmetric design without PNS-optimization, whereas YG2's design used an additional constraint on the allowable PNS threshold in the head-imaging landmark, yielding an asymmetric winding pattern. We measured PNS thresholds in 18 healthy subjects at five landmark positions (head, cardiac, abdominal, pelvic, and knee).

resultsThe PNS-optimized design YG2 achieved 46% higher average experimental thresholds for a head-imaging landmark than YG1 while incurring a 15% inductance penalty. For cardiac, pelvic, and knee imaging landmarks, the PNS thresholds increased between +22% and +35%. For abdominal imaging, PNS thresholds did not change significantly between YG1 and YG2 (-3.6%). The agreement between predicted and experimental PNS thresholds was within 11.4% normalized root mean square error for both coils and all landmarks. The PNS model also produced plausible predictions of the stimulation sites when compared to the sites of perception reported by the subjects.

conclusionThe PNS-optimization improved the PNS thresholds for the target scan landmark as well as most other studied landmarks, potentially yielding a significant improvement in image encoding performance that can be safely used in humans.

Indexed as

Magnetic Resonance ImagingWhole Body ImagingAdultElectric StimulationEquipment DesignFemaleHeadHealthy VolunteersHumansMalePeripheral NervesReproducibility of ResultsYoung Adultelectromagnetic exposure safetygradient coil designmagneto‐stimulation thresholdsMRI safetyneurodynamic nerve modelingperipheral nerve stimulation

Identifiers

PMID38767407
PMCPMC11262990

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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.