Evidence map›Paper›PMID 30761482›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020

Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging.

Martin Lyngby Lassen, Thomas Beyer, Alexander Berger, Dietrich Beitzke, Sazan Rasul, Florian Büther, Marcus Hacker, Jacobo Cal-González

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In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 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. Coronary artery disease imaging with total-body PET.The British journal of radiology · 2026
    Review
  2. Quantitative imaging in medicine and surgery · 2026
    Article
  3. Article
  4. Article
  5. Detection and correction of patient motion in dynamicJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  6. Myocardial creep and cardiorespiratory motion correction improves diagnostic accuracy of Rubidium-82 cardiac positron emission tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  7. Article
  8. Article
  9. Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  10. Article
  11. Assessment of left and right ventricular functional parameters using dynamic dual-tracer [Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  12. A preliminary evaluation of a high temporal resolution data-driven motion correction algorithm for rubidium-82 on a SiPM PET-CT system.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  13. Aortic valve imaging usingEJNMMI physics · 2022
    Article
  14. CardiovascularJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  15. Myocardial blood flow: Is motion correction necessary?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  16. New PET technologies - embracing progress and pushing the limits.European journal of nuclear medicine and molecular imaging · 2021
    Article
  17. Review
  18. Review
  19. Advances in Quantitative Analysis ofMolecular imaging · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Martin Lyngby LassenQIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria. MartinLyngby.Lassen@cshs.org.
Thomas BeyerQIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Alexander BergerQIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Dietrich BeitzkeDivision of Cardiovascular and Interventional Radiology, Department of Biomedical Engineering and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Sazan RasulDivision of Nuclear Medicine, Department of Biomedical Engineering and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Florian BütherDepartment of Nuclear Medicine, University Hospital Münster, Münster, Germany.
Marcus HackerDivision of Nuclear Medicine, Department of Biomedical Engineering and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Jacobo Cal-GonzálezQIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory patient motion causes blurring of the PET images that may impact accurate quantification of perfusion and infarction extents in PET myocardial viability studies. In this study, we investigate the feasibility of correcting for respiratory motion directly in the PET-listmode data prior to image reconstruction using a data-driven, projection-based, respiratory motion compensation (DPR-MoCo) technique.

methodsThe DPR-MoCo method was validated using simulations of a XCAT phantom (Biograph mMR PET/MR) as well as experimental phantom acquisitions (Biograph mCT PET/CT). Seven patient studies following a dual-tracer (

resultsThe DPR-MoCo and the No-MoCo images presented with similar noise-properties (CoV) (P = .12), while the RTA-MoCo and reference-gate images showed increased noise levels (P = .05). TBR

conclusionThe projection-based DPR-MoCo method helps to improve PET image quality of the myocardium without the need for external devices for motion tracking.

Indexed as

Magnetic Resonance ImagingPositron Emission Tomography Computed TomographyAgedAged, 80 and overComputer SimulationDiastoleElectrocardiographyFemaleFluorodeoxyglucose F18HeartHumansImage Processing, Computer-AssistedMaleMovementMyocardiumPhantoms, ImagingFluorodeoxyglucose F18cardiac PETlistmodemotion correctionRespiratory gating

Identifiers

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Textmetadata
Read underepoch 390

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.