Evidence map›Paper›PMID 42135998›Full record

ArticleMagnetic resonance in medicine2026

Ventilation Imaging of the Lung at 0.55T With Continuous Slice Cycling.

Andrea Leuthard, Grzegorz Bauman, Katrin E Hostettler, Maurice Pradella, Oliver Bieri

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. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Andrea LeuthardDepartment of Biomedical Engineering, University of Basel, Allschwil, Switzerland.ORCID https://orcid.org/0009-0001-0448-0828
Grzegorz BaumanDepartment of Biomedical Engineering, University of Basel, Allschwil, Switzerland.ORCID https://orcid.org/0000-0001-6972-0776
Katrin E HostettlerClinics of Respiratory Medicine, University Hospital Basel, Basel, Switzerland.
Maurice PradellaDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
Oliver BieriDepartment of Biomedical Engineering, University of Basel, Allschwil, Switzerland.ORCID https://orcid.org/0000-0002-6755-5495

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 320030_219186
6 · The paper itself

Abstract

purposeTo propose and evaluate a novel method for pulmonary ventilation imaging, offering considerably improved SNR.

methodsA continuous slice cycling (CSC) acquisition scheme is proposed to exclusively capture signal modulations from respiratory motion with increased SNR. To this end, a set of single-shot images is acquired at multiple interleaved slice positions. This scheme offers substantially increased image-to-image time-intervals at every slice position, thus allowing near full longitudinal recovery between repeated acquisitions but without losing scan efficiency. Ventilation images are generated from the registered CSC image time series using the coefficient of variation and compared to conventional functional lung MRI using a time-resolved series of 2D images. Functional lung MRI was performed in 7 volunteers and 11 patients at 0.55T using balanced steady state free precession (bSSFP). Six coronal slices with 100% slice spacing were acquired with an image-to-image interval of 2 s, yielding a total scan time of 3:20 min for 100 cycles.

resultsFor the proposed 2 s time-interval at 0.55T, almost full signal recovery can be achieved. As a result, CSC centric imaging yields a more than two-fold SNR increase as compared with contemporary functional lung imaging methods. Excellent agreement was observed between ventilation images from CSC and those from standard functional lung MRI.

conclusionCSC holds strong potential for ventilation MRI with improved sensitivity, particularly in diseases marked by reduced local tissue density.

Indexed as

Image Interpretation, Computer-AssistedLungMagnetic Resonance ImagingPulmonary VentilationAdultAlgorithmsFemaleHumansImage EnhancementMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificitySignal-To-Noise Ratiolow‐fieldlungMRInon‐contrast‐enhancedventilation

Identifiers

PMID42135998
PMCPMC13327447

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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.