Evidence map›Paper›PMID 41039864›Full record

ArticleMagnetic resonance in medicine2026

Acceleration of slice encoding for metal artifact correction at 0.55 T using hexagonal sampling.

Bahadır Alp Barlas, Kübra Keskin, Bochao Li, Brian A Hargreaves, Krishna S Nayak

Abstract read
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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 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.

  1. Imaging Near Spinal Fixation Hardware at 0.55 T Compared With 3 T.Journal of magnetic resonance imaging : JMRI · 2026
    Article
  2. Article
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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

5 authors.

Bahadır Alp BarlasMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-6963-9644
Kübra KeskinMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0003-4571-2813
Bochao LiAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-5267-9129
Brian A HargreavesElectrical Engineering, Stanford University, Stanford, California, USA.
Krishna S NayakMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-5735-3550

Funding

Improved Diagnostic MRI around Metallic ImplantsR01AR078912 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Brian Andrew Hargreaves, Krishna Shrinivas Nayak · 2022 to 2026
$2.4M
NIAMS NIH HHS R01 AR078912NIH HHS R01-AR078912Siemens Healthineers
6 · The paper itself

Abstract

purposeTo evaluate a hexagonal sampling approach for accelerated slice encoding for metal artifact correction (SEMAC) at 0.55 T. Contemporary mid-field systems (0.1 T-1.0 T) show tremendous potential for imaging near metal implants. However, the limited parallel-imaging options necessitate alternative methods for scan time reduction.

methodsWe apply retrospective hexagonal undersampling to current state-of-the-art SEMAC with 2-fold generalized autocalibrating partially parallel acquisitions-based parallel imaging at 0.55 T. The hexagonal sampling approach results in an additional 50% scan time reduction. Feasibility is evaluated with phantom experiments involving spinal fixation and total hip arthroplasty hardware, and in vivo experiments involving patients with spinal fusions with varying compositions and 1 volunteer with a total hip arthroplasty.

resultsHexagonal sampling provides an additional 50% scan time reduction with compatible image quality. The two tradeoffs are (i) a small increase in signal void due to the loss of signal from one SEMAC spectral bin during post-acquisition filtering and (ii) position-dependent signal-to-noise-ratio reduction at locations close to the edge of the field of view in the phase-encoding direction.

conclusionWe demonstrate that hexagonal sampling can provide 50% scan time reduction in addition to generalized autocalibrating partially parallel acquisitions/parallel imaging for SEMAC at 0.55 T without introducing substantial artifacts. This may be a valuable mechanism for reducing scan time at 0.55 T and other midfield strengths, where parallel-imaging acceleration is limited.

Indexed as

ArtifactsImage Processing, Computer-AssistedMagnetic Resonance ImagingMetalsProstheses and ImplantsAlgorithmsArthroplasty, Replacement, HipHumansPhantoms, ImagingReproducibility of ResultsRetrospective StudiesSignal-To-Noise RatioSpinal FusionMetals0.55T MRIhexagonal samplingmidfield MRImultispectral imagingSEMAC

Identifiers

PMID41039864
PMCPMC12681308

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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.