Evidence map›Paper›PMID 31565817›Full record

ArticleMagnetic resonance in medicine2020

Iterative motion-compensation reconstruction ultra-short TE (iMoCo UTE) for high-resolution free-breathing pulmonary MRI.

Xucheng Zhu, Marilynn Chan, Michael Lustig, Kevin M Johnson, Peder E Z Larson

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Pulmonary MRI in Newborns and Children.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  10. Measuring biventricular function and left atrial volume in a single five-dimensional whole-heart cardiovascular magnetic resonance scan at 0.55T.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  11. Review
  12. Free-breathing MRI techniques for fat and RMagma (New York, N.Y.) · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Ex-vivo 1.5T MR Imaging versus CT in Estimating the Size of the Pathologically Invasive Component of Lung Adenocarcinoma Spectrum Lesions.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Article
  17. Dynamic lung water MRI during exercise stress.Magnetic resonance in medicine · 2023
    Article
  18. Article
  19. Article
  20. Article
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.

Xucheng ZhuUCSF/UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco, California.ORCID 0000-0002-5537-5542
Marilynn ChanDepartment of Pediatrics, Division of Pediatric Pulmonology, University of California, San Francisco, California.
Michael LustigUCSF/UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco, California.
Kevin M JohnsonDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin.
Peder E Z LarsonUCSF/UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco, California.ORCID 0000-0003-4183-3634

Funding

MRI methods for high resolution imaging of the lungR01HL136965 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSON, KEVIN MICHAEL, LARSON, PEDER ERIC ZUFALL · 2018 to 2021
$2.7M
NHLBI NIH HHS R01 HL136965
6 · The paper itself

Abstract

purposeTo develop a high-scanning efficiency, motion-corrected imaging strategy for free-breathing pulmonary MRI by combining an iterative motion-compensation reconstruction with a ultrashort echo time (UTE) acquisition called iMoCo UTE.

methodsAn optimized golden-angle ordering radial UTE sequence was used to continuously acquire data for 5 minutes. All readouts were grouped to different respiratory motion states based on self-navigator signals, and then motion-resolved data was reconstructed by XD golden-angle radial sparse parallel reconstruction. One state from the motion-resolved images was selected as a reference, and then motion fields from the other states to the reference were derived via nonrigid registration. Finally, all motion-resolved data and motion fields were reconstructed by using an iterative motion-compensation (MoCo) reconstruction with a total generalized variation sparse constraint.

resultsThe iMoCo UTE strategy was evaluated in volunteers and nonsedated pediatric patient (4-6 years old) studies. Images reconstructed with iMoCo UTE provided sharper anatomical lung structures and higher apparent SNR and contrast-to-noise ratio compared to using other motion-correction strategies, such as soft-gating, motion-resolved reconstruction, and nonrigid MoCo. iMoCo UTE also showed promising results in an infant study.

conclusionThe proposed iMoCo UTE combines self-navigation, motion modeling, and a compressed sensing reconstruction to increase scan efficiency and SNR and to reduce respiratory motion in lung MRI. This proposed strategy shows improvements in free-breathing lung MRI scans, especially in very challenging application situations such as pediatric MRI studies.

Indexed as

ArtifactsImaging, Three-DimensionalChildChild, PreschoolHumansLungMagnetic Resonance ImagingRespirationfree breathingmotion compensationpediatric imagingpulmonary imaging

Identifiers

PMID31565817
PMCPMC6949392

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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.