Evidence map›Paper›PMID 38501940›Full record

ArticleMagnetic resonance in medicine2024

Increasing the scan-efficiency of pulmonary imaging at 0.55 T using iterative concomitant field and motion-corrected reconstruction.

Ahsan Javed, Rajiv Ramasawmy, Valéry Ozenne, Pan Su, Kelvin Chow, Adrienne Campbell-Washburn

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Isotropic three-dimensional cardiac cine imaging at 0.55T using stack-of-spiral sampling and four-dimensional iterative motion compensation.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

6 authors at 2 institutions in 2 countries.

Ahsan JavedCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-1311-1247
Rajiv RamasawmyCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Valéry OzenneUniv. Bordeaux, CNRS, Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536, Bordeaux, France.
Pan SuSiemens Medical Solutions USA, Malvern, Pennsylvania, USA.
Kelvin ChowSiemens Medical Solutions USA, Malvern, Pennsylvania, USA.ORCID 0000-0003-0698-1746
Adrienne Campbell-WashburnCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-7169-5693
National Institutes of Health · USCentre National de la Recherche Scientifique · FR

Funding

Development of high-performance low field MRI technology ZIAHL006257 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CAMPBELL-WASHBURN, ADRIENNE · 2021 to 2025
$8.1M
Intramural NIH HHS ZIA HL006257
6 · The paper itself

Abstract

purposeTo develop an iterative concomitant field and motion corrected (iCoMoCo) reconstruction for isotropic high-resolution UTE pulmonary imaging at 0.55 T.

methodsA free-breathing golden-angle stack-of-spirals UTE sequence was used to acquire data for 8 min with prototype and commercial 0.55 T MRI scanners. The data was binned into 12 respiratory phases based on superior-inferior navigator readouts. The previously published iterative motion corrected (iMoCo) reconstruction was extended to include concomitant field correction directly in the cost function. The reconstruction was implemented within the Gadgetron framework for inline reconstruction. Data were retrospectively reconstructed to simulate scan times of 2, 4, 6, and 8 min. Image quality was assessed using apparent SNR and image sharpness. The technique was evaluated in healthy volunteers and patients with known lung pathology including coronavirus disease 2019 infection, chronic granulomatous disease, lymphangioleiomyomatosis, and lung nodules.

resultsThe technique provided diagnostic-quality images, and image quality was maintained with a slight loss in SNR for simulated scan times down to 4 min. Parenchymal apparent SNR was 4.33 ± 0.57, 5.96 ± 0.65, 7.36 ± 0.64, and 7.87 ± 0.65 using iCoMoCo with scan times of 2, 4, 6, and 8 min, respectively. Image sharpness at the diaphragm was comparable between iCoMoCo and reference images. Concomitant field corrections visibly improved the sharpness of anatomical structures away from the isocenter. Inline image reconstruction and artifact correction were achieved in <5 min.

conclusionThe proposed iCoMoCo pulmonary imaging technique can generate diagnostic quality images with 1.75 mm isotropic resolution in less than 5 min using a 6-min acquisition, on a 0.55 T scanner.

Indexed as

LungMagnetic Resonance ImagingAdultAlgorithmsArtifactsCOVID-19FemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedLung DiseasesLung NeoplasmsMaleMotionPhantoms, ImagingRespirationconcomitant fieldlow‐field MRImotion corrected reconstructionpulmonary imagingstack‐of‐spirals imaging

Identifiers

PMID38501940
PMCPMC11055666
OpenAlexW4392952483

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Registered trials

None linked

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.