Evidence map›Paper›PMID 40411380›Full record

ArticleMagnetic resonance in medicine2025

Feasibility study of subject-specific, brain specific-absorption-rate maps retrieved from MRI data.

Jessica A Martinez, Umberto Zanovello, Alessandro Arduino, Houchun Harry Hu, Kevin Moulin, Stephen E Ogier, Oriano Bottauscio, Luca Zilberti, Kathryn E Keenan

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. 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. Trial
  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

9 authors.

Jessica A MartinezPhysical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA.ORCID https://orcid.org/0000-0002-3274-566X
Umberto ZanovelloIstituto Nazionale di Ricerca Metrologica, Torino, Italy.ORCID https://orcid.org/0000-0001-6415-9967
Alessandro ArduinoIstituto Nazionale di Ricerca Metrologica, Torino, Italy.ORCID https://orcid.org/0000-0002-4829-5130
Houchun Harry HuDepartment of Radiology, Section of Radiological Science, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0002-0719-1159
Kevin MoulinDepartment of Cardiology of Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9188-6403
Stephen E OgierPhysical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA.ORCID https://orcid.org/0000-0003-1098-1693
Oriano BottauscioIstituto Nazionale di Ricerca Metrologica, Torino, Italy.ORCID https://orcid.org/0000-0002-5437-4396
Luca ZilbertiIstituto Nazionale di Ricerca Metrologica, Torino, Italy.ORCID https://orcid.org/0000-0002-2382-4710
Kathryn E KeenanPhysical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA.ORCID https://orcid.org/0000-0001-9070-5255

Funding

18HLT05 QUIERO Projecthe EMPIR Programme, co-financed by the Participating States and from the European Union's Horizon 2020 Research and Innovation ProgrammeNIST-PREP (Professional Research Experience Program) 70NANB18H006U.S. Department of Commerce, National Institute of Standards and Technology
6 · The paper itself

Abstract

introductionSpecific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually calculated through numerical simulations, they are impractical during exams, limiting real-time patient-specific SAR assessment. This study confirms the feasibility of deriving in vivo, subject-specific, image-based SAR and 10-g SAR maps directly from MRI data.

methodsComplex B

resultsA multi-slice image-based brain SAR map was obtained in 12 min (9-min acquisition, 3-min SAR reconstruction). In vitro experiments validated B

conclusionsThis study shows the feasibility of inline, subject-specific SAR and 10-g SAR maps from standard brain clinical sequences. Image-based SAR maps can be a practical alternative during MRI exams when simulations are not feasible.

Indexed as

BrainBrain MappingImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAlgorithmsComputer SimulationFeasibility StudiesHealthy VolunteersHumansMalePhantoms, ImagingRadio WavesEPTRF heatingSAR

Identifiers

PMID40411380
PMCPMC12202717

What OpenQuestion holds

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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.