Evidence map›Paper›PMID 41039902›Full record

ArticleMagnetic resonance in medicine2026

Radial TRASE: 2D RF encoding through mechanical rotation and active digital decoupling.

Christopher J Sedlock, Aaron R Purchase, Boguslaw Tomanek, Jonathan C Sharp

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 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. Image Encoding With Blipped Gradients in an Echo Train.Magnetic resonance in medicine · 2026
    Article
  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

4 authors.

Christopher J SedlockDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0002-1081-1902
Aaron R PurchaseM Tech Research Canada Ltd., Edmonton, Alberta, Canada.
Boguslaw TomanekDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Jonathan C SharpDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0002-9736-7487

Funding

Natural Sciences and Engineering Research Council of Canada, Grants RGPIN-2020-04414Natural Sciences and Engineering Research Council of Canada, Grants RGPIN-2023-04079
6 · The paper itself

Abstract

purposeTwo-dimensional (2D) transmit array spatial encoding (TRASE) previously required four radiofrequency fields; however, interactions between transmit (Tx) array elements caused significant challenges for 2D imaging. Here, we present a low-cost, 2D radial encoding scheme (Radial TRASE) using a simplified two-coil array. THEORY AND

methodsThe system consists of two B

resultsRadial TRASE-encoded images of water phantoms were acquired, achieving a resolution better than 1.67 mm. Rotation of the Tx array was performed during the recovery period, which caused no imaging delays. All acquired images show minimal distortions, indicating the advantage of the simplified Tx array. The active digital decoupling technique is demonstrated to eliminate residual coupled currents, effectively increasing the isolation of the two-coil array to -50 dB. Sequential axial slice images were demonstrated using a uniform B

conclusionTwo-coil Radial TRASE can encode a 2D slice without rapidly switched B

Indexed as

Image EnhancementMagnetic Resonance ImagingSignal Processing, Computer-AssistedAlgorithmsEquipment DesignHumansPhantoms, ImagingRadio WavesReproducibility of ResultsRotationactive digital decouplingradial encodingradiofrequency (RF) transmit arrayRF coil rotationTRASE MRItwisted solenoid

Identifiers

PMID41039902
PMCPMC12681306

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.