Evidence map›Paper›PMID 33937825›Full record

ArticleRadiology. Artificial intelligence2020

Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images.

Davide Piccini, Robin Demesmaeker, John Heerfordt, Jérôme Yerly, Lorenzo Di Sopra, Pier Giorgio Masci, Juerg Schwitter, Dimitri Van De Ville, Jonas Richiardi, Tobias Kober and 1 more

Abstract read
In one paragraph

Article in Radiology. Artificial intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. An artificial intelligence-driven image quality assessment system for whole-body [European journal of nuclear medicine and molecular imaging · 2023
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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

11 authors.

Davide PicciniAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0003-4663-3244
Robin DemesmaekerAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0003-0856-0929
John HeerfordtAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0002-6837-4733
Jérôme YerlyAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0003-4347-8613
Lorenzo Di SopraAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).
Pier Giorgio MasciAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0001-5196-9530
Juerg SchwitterAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0002-9966-6149
Dimitri Van De VilleAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0002-2879-3861
Jonas RichiardiAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0002-6975-5634
Tobias KoberAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).ORCID 0000-0001-7598-9456
Matthias StuberAdvanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland (D.P., R.D., J.H., J.R., T.K.); Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue de Bugnon 46, BH 8.80, 1011 Lausanne, Switzerland (D.P., J.H., J.Y., L.D.S., J.R., T.K., M.S.); LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (D.P., J.R., T.K.); Institute of Electrical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D.); Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (R.D., D.V.D.V.); Center for Biomedical Imaging (CIBM), Lausanne, Switzerland (J.Y., M.S.); Division of Cardiology and Cardiac MR Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.G.M., J.S.); and Department of Radiology and Medical Informatics, University Hospital of Geneva (HUG), Geneva, Switzerland (D.V.D.V.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop and characterize an algorithm that mimics human expert visual assessment to quantitatively determine the quality of three-dimensional (3D) whole-heart MR images. MATERIALS AND

methodsIn this study, 3D whole-heart cardiac MRI scans from 424 participants (average age, 57 years ± 18 [standard deviation]; 66.5% men) were used to generate an image quality assessment algorithm. A deep convolutional neural network for image quality assessment (IQ-DCNN) was designed, trained, optimized, and cross-validated on a clinical database of 324 (training set) scans. On a separate test set (100 scans), two hypotheses were tested:

resultsRegression performance of the IQ-DCNN was within the range of human intra- and interobserver agreement and in very good agreement with the human expert (

conclusionThe proposed IQ-DCNN was trained to mimic expert visual image quality assessment of 3D whole-heart MR images. The results from the IQ-DCNN were in good agreement with human expert reading, and the network was capable of automatically comparing different reconstructed volumes.

Identifiers

PMID33937825
PMCPMC8082371

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