Evidence map›Paper›PMID 41486104›Full record

ArticleMagnetic resonance in medicine2026

Rapid Free-Breathing and Automated 2D Shimming of the Lung at 3T.

Pavlos Panos, Grzegorz Bauman, Oliver Bieri

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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. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Pavlos PanosDepartment of Biomedical Engineering, University of Basel, Allschwil, Switzerland.ORCID 0009-0009-4112-5292
Grzegorz BaumanDepartment of Biomedical Engineering, University of Basel, Allschwil, Switzerland.ORCID 0000-0001-6972-0776
Oliver BieriDepartment of Biomedical Engineering, University of Basel, Allschwil, Switzerland.ORCID 0000-0002-6755-5495

Funding

Swiss National Science Foundation 320030_219186
6 · The paper itself

Abstract

purposeTo develop and validate a rapid, fully automated method for shimming of the lung.

methodsFor field mapping of the lung, a custom 2D RF spoiled gradient echo sequence was used offering sub-millisecond echo times. At 3T, four echo-shifted coronal images were acquired with a minimum TE of 0.57 ms and an inter-echo spacing of 0.1 ms. Imaging was performed in free-breathing using three repetitions with a total scan time of 4.2 s. Subsequently, motion correction, field mapping, lung segmentation, and lung shim currents were calculated inline. Finally, the derived shim currents were saved locally, accessible by any custom sequence for application during scan preparation. The shimming method's performance was compared against the vendor's default settings in five healthy volunteers for functional lung imaging with matrix pencil decomposition using balanced steady-state free precession (bSSFP).

resultsField mapping and shimming of the lung was successfully performed in all volunteers and derivation of shim currents took less than 10s. At 3T, subject-specific shimming reduced the mean frequency offset in the lung by up to 45 Hz and the frequency range (max-min) by up to 180 Hz. Overall, this improved bSSFP signal homogeneity, resulting in more uniform functional images.

conclusionsThis work demonstrates a robust, automated shimming solution for lung imaging at 3T, easily integrable into clinical workflows. The technique significantly enhances image quality and reliability for high-field, bSSFP-based pulmonary imaging. At lower field strengths, the method can possibly relax TR constraints, reducing SAR and peripheral nerve stimulation.

Indexed as

Image Interpretation, Computer-AssistedImage Processing, Computer-AssistedLungMagnetic Resonance ImagingAdultAlgorithmsFemaleHumansMaleReproducibility of ResultsRespirationactiveautomatedB0 mappingbSSFPdeep learninglungregistrationsegmentationshimming

Identifiers

PMID41486104
PMCPMC12962199

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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.