Evidence map›Paper›PMID 26501450›Full record

ArticleEJNMMI physics2014

On transcending the impasse of respiratory motion correction applications in routine clinical imaging - a consideration of a fully automated data driven motion control framework.

Adam L Kesner, Paul J Schleyer, Florian Büther, Martin A Walter, Klaus P Schäfers, Phillip J Koo

Abstract read
In one paragraph

Article in EJNMMI physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Fully Automated, Fast Motion Correction of Dynamic Whole-Body and Total-Body PET/CT Imaging Studies.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. New PET technologies - embracing progress and pushing the limits.European journal of nuclear medicine and molecular imaging · 2021
    Article
  13. Review
  14. Recent advances in voxel-based targeted radionuclide therapy dosimetry.Quantitative imaging in medicine and surgery · 2021
    Article
  15. Review
  16. Automated dynamic motion correction using normalized gradient fields forJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  17. Review
  18. Blood pool and tissue phase patient motion effects onJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  19. Data-Driven Gross Patient Motion Detection and Compensation: Implications for CoronaryJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  20. Review
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.

Adam L KesnerDivision of Nuclear Medicine, Department of Radiology, Anschutz Medical Campus, University of Colorado Denver, 12700 E 19th Ave, Box C-278, Aurora, CO, 80045, USA. adam.kesner@ucdenver.edu.
Paul J SchleyerDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, WC2R 2LS, UK. paul.schleyer@kcl.ac.uk.
Florian BütherEuropean Institute for Molecular Imaging, University of Münster, Münster, 48149, Germany. florian.buether@uni-muenster.de.
Martin A WalterInstitute of Nuclear Medicine and Department of Clinical Research, University Hospital Bern, Bern, 3010, Switzerland. martin.alexander.walter@gmail.com.
Klaus P SchäfersEuropean Institute for Molecular Imaging, University of Münster, Münster, 48149, Germany. schafkl@uni-muenster.de.
Phillip J KooDivision of Nuclear Medicine, Department of Radiology, Anschutz Medical Campus, University of Colorado Denver, 12700 E 19th Ave, Box C-278, Aurora, CO, 80045, USA. Phillip.Koo@ucdenver.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positron emission tomography (PET) is increasingly used for the detection, characterization, and follow-up of tumors located in the thorax. However, patient respiratory motion presents a unique limitation that hinders the application of high-resolution PET technology for this type of imaging. Efforts to transcend this limitation have been underway for more than a decade, yet PET remains for practical considerations a modality vulnerable to motion-induced image degradation. Respiratory motion control is not employed in routine clinical operations. In this article, we take an opportunity to highlight some of the recent advancements in data-driven motion control strategies and how they may form an underpinning for what we are presenting as a fully automated data-driven motion control framework. This framework represents an alternative direction for future endeavors in motion control and can conceptually connect individual focused studies with a strategy for addressing big picture challenges and goals.

Indexed as

Data-driven gatingMotion control frameworkMotion correctionPETRespiratory gatingSignal optimization

Identifiers

PMID26501450
PMCPMC4673082

What OpenQuestion holds

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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.