Evidence map›Paper›PMID 41914323›Full record

ArticleMagnetic resonance in medicine2026

A Numerical Alternative to MR Thermometry for Safety Validation of Multi-Channel RF Transmit Coils.

Alireza Sadeghi-Tarakameh, Simon Schmidt, Matt Waks, Russell L Lagore, Andrea Grant, Edward Auerbach, Lance DelaBarre, Lasse Knudsen, Christophe Lenglet, Luca Vizioli and 5 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Alireza Sadeghi-TarakamehCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-5718-6553
Simon SchmidtCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-1835-4002
Matt WaksCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-1743-8888
Russell L LagoreCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-1950-1828
Andrea GrantCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Edward AuerbachCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-4553-1545
Lance DelaBarreCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Lasse KnudsenCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Christophe LengletCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Luca VizioliCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Essa YacoubCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Gregor AdrianyCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-6428-9005
Gregory J MetzgerCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-3187-6529
Kamil UgurbilCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Yigitcan EryamanCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.

Funding

BRAIN CONNECTS: Center for Mesoscale ConnectomicsUM1NS132207 · NINDS · UNIVERSITY OF MINNESOTA · PI TANER AKKIN, Damien A Fair · 2023 to 2026
$12.5M
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
CONSOLE FOR 10.5 TESLA WHOLE BODY MRI SYSTEMS10RR029672 · NCRR · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2010 to 2010
$7.8M
Development of Enabling Technologies for Clinical Ultrahigh Field Body MRIR01EB029985 · NIBIB · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2024
$2.4M
Safe Magnetic Resonance Imaging of Patients with Deep Brain Stimulation SystemsR01NS115180 · NINDS · UNIVERSITY OF MINNESOTA · PI ERYAMAN, YIGITCAN · 2020 to 2024
$1.9M
Ultrahigh-resolution Functional MRI of the Human Brain at 10.5 TeslaR01NS136490 · NINDS · UNIVERSITY OF MINNESOTA · PI Luca Vizioli, Xiaoping Wu · 2024 to 2026
$1.7M
Technology Development for Whole Brain Functional and Structural Connectivity Mapping at 10.5TR01EB038654 · NIBIB · UNIVERSITY OF MINNESOTA · PI Alireza Sadeghi Tarakameh · 2026 to 2026
$543k
NCRR NIH HHS S10 RR029672NIBIB NIH HHS P41 EB027061NIBIB NIH HHS R01 EB029985NIBIB NIH HHS R01 EB038654NINDS NIH HHS R01 NS115180NINDS NIH HHS R01 NS136490NINDS NIH HHS UM1 NS132207
6 · The paper itself

Abstract

purposeThis study proposes a numerical technique to estimate peak local specific absorption rate (SAR) uncertainty of multi-channel RF coils during the process of safety validation as an alternative to experimental temperature and electric-field measurements, and demonstrates its use to enable human studies at 10.5 T.

methodsTo ensure patient safety, SAR limits established under international guidelines must not be exceeded. Predicting SAR on state-of-the-art parallel transmit systems relies on electromagnetic simulations, which require extensive experimental validation. Despite a well-established validation workflow, SAR prediction errors are unavoidable and must be quantified as a safety margin. While MRT tests are commonly used for this purpose, their technical challenges necessitate an alternative. The proposed technique propagates the error between experimentally and numerically acquired

resultsThe proposed numerical technique proved more conservative than existing MRT-based SAR error quantification methods across all tested scenarios. Its application to validate three state-of-the-art head coils (16Tx/32Rx, 16Tx/80Rx, and 16Tx/128Rx) led to regulatory approval for human head imaging and high-quality diffusion and functional MRI results at 10.5 T.

conclusionThe proposed technique requires only the experimental acquisition of

Indexed as

Magnetic Resonance ImagingThermometryAlgorithmsComputer SimulationElectromagnetic FieldsEquipment DesignHumansMonte Carlo MethodPatient SafetyPhantoms, ImagingRadio WavesReproducibility of Results10.5 Tfunctional and diffusion MRIMR thermometryradiofrequency safetyradiofrequency transmit arrayultrahigh field

Identifiers

PMID41914323
PMCPMC13156453

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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.