Evidence map›Paper›PMID 23821373›Full record

ArticleMagnetic resonance in medicine2014

Prevention of motion-induced signal loss in diffusion-weighted echo-planar imaging by dynamic restoration of gradient moments.

Kazim Gumus, Brian Keating, Benedikt A Poser, Brian Armstrong, Linda Chang, Julian Maclaren, Thomas Prieto, Oliver Speck, Maxim Zaitsev, Thomas Ernst

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Baby brain atlases.NeuroImage · 2019
    Review
  8. Article
  9. Article
  10. Compressive Sensing Based Q-Space Resampling for Handling Fast Bulk Motion in Hardi Acquisitions.Proceedings. IEEE International Symposium on Biomedical Imaging · 2016
    Article
  11. Article
  12. Article
  13. Motion artifacts in MRI: A complex problem with many partial solutions.Journal of magnetic resonance imaging : JMRI · 2015
    Review
  14. Comparison of optical and MR-based tracking.Magnetic resonance in medicine · 2015
    Article
  15. Review
  16. 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

10 authors.

Kazim GumusDepartment of Medicine, JABSOM, University of Hawaii, Honolulu, Hawaii, USA.
Brian Keating
Benedikt A Poser
Brian Armstrong
Linda Chang
Julian Maclaren
Thomas Prieto
Oliver Speck
Maxim Zaitsev
Thomas Ernst

Funding

RESEARCH DESIGN, BIOSTATISTICS AND RESEARCH ETHICS COREG12MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 2012 to 2016
$13.0M
RGR-based motion tracking for real-time adaptive MR imaging and spectroscopyR01DA021146 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI ERNST, THOMAS M · 2007 to 2018
$8.6M
Imaging Studies in Neurotoxicity and NeurodevelopmentU54NS056883 · NINDS · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2007 to 2011
$8.4M
Neuroimaging and Mentoring in Drug Abuse ResearchK24DA016170 · NIDA · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2003 to 2013
$1.8M
MR Techniques for Drug Abuse and HIV Brain ResearchK02DA016991 · NIDA · UNIVERSITY OF HAWAII AT MANOA · PI ERNST, THOMAS M · 2003 to 2007
$657k
NIDA NIH HHS 2K24 DA016170NIDA NIH HHS K02 DA016991NIDA NIH HHS K24 DA016170NIDA NIH HHS R01 DA021146NIDA NIH HHS R01-DA021146NIMHD NIH HHS G12 MD007601NINDS NIH HHS 1U54-NS056883NINDS NIH HHS U54 NS056883
6 · The paper itself

Abstract

purposeHead motion is a significant problem in diffusion-weighted imaging as it may cause signal attenuation due to residual dephasing during strong diffusion encoding gradients even in single-shot acquisitions. Here, we present a new real-time method to prevent motion-induced signal loss in DWI of the brain.

methodsThe method requires a fast motion tracking system (optical in the current implementation). Two alterations were made to a standard diffusion-weighted echo-planar imaging sequence: first, real-time motion correction ensures that slices are correctly aligned relative to the moving brain. Second, the tracking data are used to calculate the motion-induced gradient moment imbalance which occurs during the diffusion encoding periods, and a brief gradient blip is inserted immediately prior to the signal readout to restore the gradient moment balance.

resultsPhantom experiments show that the direction as well as magnitude of the gradient moment imbalance affects the characteristics of unwanted signal attenuation. In human subjects, the addition of a moment-restoring blip prevented signal loss and improved the reproducibility and reliability of diffusion tensor measures even in the presence of substantial head movements.

conclusionThe method presented can improve robustness for clinical routine scanning in populations that are prone to head movements, such as children and uncooperative adult patients.

Indexed as

Head MovementsDiffusion Magnetic Resonance ImagingEcho-Planar ImagingHealthy VolunteersHumansImage Processing, Computer-AssistedMotionPhantoms, ImagingReproducibility of ResultsSignal Processing, Computer-Assisteddiffusion weighted imaginggradient moment restorationreal-time motion trackingsignal loss

Identifiers

PMID23821373
PMCPMC4420624

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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.