Evidence map›Paper›PMID 28550650›Full record

ArticleMagma (New York, N.Y.)2018

Single-breath-hold 3-D CINE imaging of the left ventricle using Cartesian sampling.

Jens Wetzl, Michaela Schmidt, François Pontana, Benjamin Longère, Felix Lugauer, Andreas Maier, Joachim Hornegger, Christoph Forman

Abstract readEvaluation StudyValidation Study
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Deep Learning-Based Reconstruction for Cardiac MRI: A Review.Bioengineering (Basel, Switzerland) · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  9. A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Advances in cardiovascular MR imaging.Magma (New York, N.Y.) · 2018
    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

8 authors.

Jens WetzlPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany. jens.wetzl@fau.de.ORCID http://orcid.org/0000-0002-6484-2130
Michaela SchmidtSiemens Healthcare GmbH, Erlangen, Germany.
François PontanaDepartment of Cardiovascular Imaging, CHU Lille and Univ. Lille, 59000, Lille, France.
Benjamin LongèreDepartment of Cardiovascular Imaging, CHU Lille and Univ. Lille, 59000, Lille, France.
Felix LugauerPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany.
Andreas MaierPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany.
Joachim HorneggerPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany.
Christoph FormanSiemens Healthcare GmbH, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur objectives were to evaluate a single-breath-hold approach for Cartesian 3-D CINE imaging of the left ventricle with a nearly isotropic resolution of [Formula: see text] and a breath-hold duration of [Formula: see text]19 s against a standard stack of 2-D CINE slices acquired in multiple breath-holds. Validation is performed with data sets from ten healthy volunteers. MATERIALS AND

methodsA Cartesian sampling pattern based on the spiral phyllotaxis and a compressed sensing reconstruction method are proposed to allow 3-D CINE imaging with high acceleration factors. The fully integrated reconstruction uses multiple graphics processing units to speed up the reconstruction. The 2-D CINE and 3-D CINE are compared based on ventricular function parameters, contrast-to-noise ratio and edge sharpness measurements.

resultsVisual comparisons of corresponding short-axis slices of 2-D and 3-D CINE show an excellent match, while 3-D CINE also allows reformatting to other orientations. Ventricular function parameters do not significantly differ from values based on 2-D CINE imaging. Reconstruction times are below 4 min.

conclusionWe demonstrate single-breath-hold 3-D CINE imaging in volunteers and three example patient cases, which features fast reconstruction and allows reformatting to arbitrary orientations.

Indexed as

AdultAgedAlgorithmsBreath HoldingCardiac Imaging TechniquesData CompressionFemaleHealthy VolunteersHeart VentriclesHumansImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineMaleMiddle AgedSignal-To-Noise RatioVentricular Function, Left3-D CINE imagingCompressed sensingVentricular function

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Registered trials

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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.