Evidence map›Paper›PMID 40711974›Full record

ArticleMagnetic resonance in medicine2025

Real-time specific absorption rate supervision for a 32-channel RF transmit system with virtual observation points.

Thomas M Fiedler, Stephan Orzada, Johannes A Grimm, Bottyan Batkai, Stefan Dinkelacker, Fabian J Kratzer, Christoph Klein, Markus W May, Falk Mayer, Luisa Schweins and 1 more

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 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.

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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

11 authors.

Thomas M FiedlerMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0002-1556-375X
Stephan OrzadaMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0001-9784-4354
Johannes A GrimmMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0009-0001-1260-3613
Bottyan BatkaiMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0009-0007-5864-6305
Stefan DinkelackerMedical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0009-0002-1409-1989
Fabian J KratzerMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0001-7454-1641
Christoph KleinMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0003-2019-6074
Markus W MayErwin L. Hahn Institute for MRI, University Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0003-3869-9681
Falk MayerMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Luisa SchweinsMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0009-0001-2472-034X
Mark E LaddMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0002-4128-9440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeReal-time supervision is a crucial element of an RF parallel transmit (pTx) system to supervise safety of the subject during MR imaging and to utilize the full potential of the RF array. However, the computational demand for the specific absorption rate (SAR) calculation scales much greater than linearly with the number of RF channels. Furthermore, a high number of virtual observation points (VOPs) for the local SAR supervision is preferable to reduce the SAR overestimation during the VOP compression, increasing the computational demand further. An RF transmit supervision system for a 32-channel pTx system including local SAR calculation with a high number of VOPs was developed.

methodsThe system includes 64 digitizer channels to measure the real and imaginary parts of 32 transmit channels. To handle the high computational demand, local SAR calculation is performed on a graphics processing unit (GPU). SAR is averaged for 10 s and 6 min. The system operates independently of the MR system and shuts down the RF power amplifiers (RFPAs) if a SAR limit is exceeded, or the supervision system is interrupted.

resultsThe presented system is able to monitor 32 transmit channels and perform real-time SAR calculation with up to 165 000 VOPs. When using only 16 or 8 channels, the number of VOPs increases to 730 000 and 2 300 000, respectively.

conclusionIn this work, we present a real-time RF supervision system designed to monitor a 32-channel pTx systems including the relative phases of each channel and to perform the local SAR calculation based on VOPs from numerical simulations.

Indexed as

Magnetic Resonance ImagingAlgorithmsComputer SystemsEquipment DesignHumansPhantoms, ImagingRadio WavesGPU accelerationlocal SARsafety supervisionUHF MRIVOPs

Identifiers

PMID40711974
PMCPMC12501689

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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.