Evidence map›Paper›PMID 41428277›Full record

ArticleMagma (New York, N.Y.)2026

Distortion correction in TSE near titanium implants at 0.55 T using reversed frequency-encoding and model-based reconstruction.

Bochao Li, Nam G Lee, Daehyun Yoon, Kübra Keskin, Alexander R Toews, Jay Acharya, Jordan S Gross, Brian A Hargreaves, Krishna S Nayak

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In one paragraph

Article in Magma (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Bochao LiAlfred E. Mann Department of Biomedical Engineering, University of Southern California, 3740 McClintock Ave, EEB 416, Los Angeles, CA, 90089-2564, USA. bochaoli@usc.edu.ORCID http://orcid.org/0000-0002-5267-9129
Nam G LeeAlfred E. Mann Department of Biomedical Engineering, University of Southern California, 3740 McClintock Ave, EEB 416, Los Angeles, CA, 90089-2564, USA.
Daehyun YoonRadiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
Kübra KeskinMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Alexander R ToewsElectrical Engineering, Stanford University, Stanford, CA, USA.
Jay AcharyaDiagnostic Radiology, University of California Los Angeles, Los Angeles, CA, USA.
Jordan S GrossDiagnostic Radiology, University of California Los Angeles, Los Angeles, CA, USA.
Brian A HargreavesElectrical Engineering, Stanford University, Stanford, CA, USA.
Krishna S NayakAlfred E. Mann Department of Biomedical Engineering, University of Southern California, 3740 McClintock Ave, EEB 416, Los Angeles, CA, 90089-2564, USA.

Funding

Improved Diagnostic MRI around Metallic ImplantsR01AR078912 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Brian Andrew Hargreaves, Krishna Shrinivas Nayak · 2022 to 2026
$2.4M
Foundation for the National Institutes of Health #R01-AR078912National Science Foundation 1828736NIAMS NIH HHS R01 AR078912
6 · The paper itself

Abstract

objectivesTo develop a method for imaging near titanium implants at 0.55 T, which enables the use of a low readout bandwidth for higher SNR while reducing in-plane geometric distortions. MATERIALS AND

methodsA pair of turbo spin echo (TSE) data with opposite frequency-encoding directions is acquired. For each frequency direction, a gradient nonlinearity (GNL)-corrected image is reconstructed with a model-based iterative reconstruction incorporating GNL. A susceptibility-induced displacement map along the readout direction is estimated from two GNL-corrected images. A single final image is reconstructed with the model-based reconstruction incorporating both GNL and metal-induced displacement fields using both k-space acquisitions. The proposed method is compared against TSE with view angle tilting (VAT) and slice encoding for metal artifact correction (SEMAC).

resultsThe proposed reconstruction method maintains spatial resolution compared to current correction techniques. Unlike image-domain correction, VAT, and SEMAC, it does not introduce spatial blurring at equivalent bandwidths. It is feasible to reduce distortion due to off-resonance at a low readout bandwidth, resulting in higher apparent SNR (1.4-1.6-fold) without blurring under current imaging settings. In phantoms, and in patients with total hip arthroplasty and spinal fusion, the proposed method provides clearer delineation of tissues compared to conventional methods. DISCUSSION: The proposed GNL and off-resonance distortion correction method for imaging near metal at 0.55 T enables the use of low readout bandwidth, providing SNR improvements without the blurring typically associated with low-bandwidth VAT.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingProstheses and ImplantsTitaniumAlgorithmsArtifactsHumansMetalsPhantoms, ImagingSignal-To-Noise RatioMetalsTitanium0.55 Tesla MRIGradient nonlinearityMetallic implantMid-field MRIOff-resonance

Identifiers

PMID41428277
PMCPMC13447556

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Registered trials

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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.