Evidence map›Paper›PMID 34666159›Full record

ArticleMagnetic resonance imaging2022

Average SAR prediction, validation, and evaluation for a compact MR scanner head-sized RF coil.

M R Tarasek, Y Shu, D Kang, S Tao, E Gray, J Huston, Y Hua, D T B Yeo, M A Bernstein, T K Foo

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

M R TarasekGE Global Research, Niskayuna, NY, USA. Electronic address: tarasek@ge.com.
Y ShuMayo Clinic, Department of Radiology, Rochester, MN, USA.
D KangMayo Clinic, Department of Radiology, Rochester, MN, USA.
S TaoMayo Clinic, Department of Radiology, Jacksonville, FL, USA.
E GrayMayo Clinic, Department of Radiology, Rochester, MN, USA.
J HustonMayo Clinic, Department of Radiology, Rochester, MN, USA.
Y HuaGE Global Research, Niskayuna, NY, USA.
D T B YeoGE Global Research, Niskayuna, NY, USA.
M A BernsteinMayo Clinic, Department of Radiology, Rochester, MN, USA.
T K FooGE Global Research, Niskayuna, NY, USA.
Mayo Clinic in Arizona · USGE Global Research (United States) · USJacksonville College · US

Funding

High-performance compact 3T MRI: Technical optimization for advanced brain imagingU01EB024450 · NIBIB · MAYO CLINIC ROCHESTER · PI BERNSTEIN, MATTHEW A., FOO, THOMAS K · 2017 to 2021
$5.3M
NIBIB NIH HHS U01 EB024450
6 · The paper itself

Abstract

A recently developed compact 3 T (C3T) MRI scanner with high performance gradients [1, 2] has a dedicated radiofrequency (RF) transmit coil that exposes only the head, neck and a small portion of the upper body region during head-first scanning. Due to the unique coil geometry and patient positioning, the established SAR model used for a conventional whole-body scanner cannot be directly translated to the C3T. Here a specific absorption rate (SAR) estimation and validation framework was developed and used to implement a dedicated and accurate SAR prediction model for the C3T. Two different SAR prediction models for the C3T were defined and evaluated: one based on an anatomically derived exposed mass, and one using a fixed anatomical position located caudally to the RF coil to determine the exposed mass. After coil modeling and virtual human body simulation, the designed SAR prediction model was implemented on the C3T and verified with calorimetry and in vivo scan power monitoring. The fixed-demarcation exposed mass model was selected as appropriate exposed mass region to accurately estimate the SAR deposition in the patient on the C3T.

Indexed as

Magnetic Resonance ImagingRadio WavesComputer SimulationHumansPatient PositioningPhantoms, ImagingCompact radiofrequency coilMagnetic resonance imagingSimulationSpecific absorption rateValidation

Identifiers

PMID34666159
PMCPMC8631045
OpenAlexW3207391619

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.