Evidence map›Paper›PMID 40961351›Full record

ArticleMagnetic resonance in medicine2026

Free-breathing 3D pulmonary ventilation mapping at 0.55 T using stack-of-spiral out-in bSSFP.

Ziwei Zhao, Nam G Lee, Bilal Tasdelen, Xin Miao, Ye Tian, Bochao Li, Sophia X Cui, Krishna S Nayak

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

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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

2 citing papers in PubMed.

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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

8 authors.

Ziwei ZhaoMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0003-0281-1141
Nam G LeeAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-5462-1492
Bilal TasdelenMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-6462-3651
Xin MiaoDepartment of Radiology, Children's Hospital Los Angeles, Los Angeles, California, USA.
Ye TianMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-8559-4404
Bochao LiAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-5267-9129
Sophia X CuiSiemens Medical Solutions USA, Inc, Los Angeles, California, USA.ORCID 0000-0002-5133-4903
Krishna S NayakMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-5735-3550

Funding

National Science Foundation #1828736
6 · The paper itself

Abstract

purposeTo develop a free-breathing pulmonary imaging technique that provides three-dimensional (3D) structural images and regional ventilation maps, and to evaluate its repeatability and accuracy compared with two-dimensional phase-resolved functional lung (PREFUL) and global tidal volume.

methodsA free-breathing 3D stack-of-spiral out-in (SOS out-in) balanced steady-state free precession (bSSFP) sequence with self-navigators was designed to achieve 2-mm isotropic resolution in 5 min. Respiratory-resolved images were reconstructed using spatial L1 wavelet and temporal finite-difference constraints. The 3D ventilation maps were generated based on Jacobian determinant of the estimated nonrigid deformations. Six healthy volunteers were scanned in supine and prone positions. Ventilation maps were compared with two-dimensional PREFUL from two matched slices. Test-retest repeatability was assessed using Bland-Altman analysis. Correlations among the proposed method, PREFUL, and global tidal volume were evaluated.

resultsIn healthy volunteers, the SOS out-in lung images provided sufficient vessel-parenchyma contrast and boundary sharpness to support accurate ventilation estimation. Regional ventilation measurements from 3D SOS out-in demonstrated good repeatability (relative differences < 10%). Ventilation maps from 3D SOS out-in strongly correlated with PREFUL on a slice-matched basis as well as with global tidal volume (R

conclusionThe proposed method provides high-quality respiratory-resolved structural images and 3D ventilation mapping in a single 5-min scan at 0.55 T. Ventilation measurements are sensitive, consistent, and in good agreement with PREFUL and spirometry.

Indexed as

Imaging, Three-DimensionalLungMagnetic Resonance ImagingPulmonary VentilationAdultAlgorithmsFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedMaleReproducibility of ResultsRespirationTidal VolumebSSFPlow field MRIpulmonary MRIpulmonary ventilationspiral trajectory

Identifiers

PMID40961351
PMCPMC12620162

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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.