Evidence map›Paper›PMID 25446934›Full record

ArticleMagnetic resonance in medicine2015

Prospective motion correction of segmented diffusion weighted EPI.

Michael Herbst, Benjamin Zahneisen, Benjamin Knowles, Maxim Zaitsev, Thomas Ernst

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  10. Baby brain atlases.NeuroImage · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Image formation in diffusion MRI: A review of recent technical developments.Journal of magnetic resonance imaging : JMRI · 2017
    Review
  15. Article
  16. Article
  17. Article
  18. Reverse retrospective motion correction.Magnetic resonance in medicine · 2016
    Article
  19. Motion correction in MRI of the brain.Physics in medicine and biology · 2016
    Review
  20. 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

5 authors.

Michael HerbstDepartment of Radiology, Medical Physics, University Medical Center Freiburg, Germany.
Benjamin ZahneisenDepartment of Radiology, JABSOM, Honolulu, Hawaii, USA.
Benjamin KnowlesDepartment of Radiology, Medical Physics, University Medical Center Freiburg, Germany.
Maxim ZaitsevDepartment of Radiology, Medical Physics, University Medical Center Freiburg, Germany.
Thomas ErnstDepartment of Radiology, JABSOM, Honolulu, Hawaii, USA.

Funding

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
NIDA NIH HHS 1R01-DA021146NIDA NIH HHS 3R01-DA021146-05S1NIDA NIH HHS R01 DA021146
6 · The paper itself

Abstract

purposeRecently, a new algorithm was introduced to combine segments of under-sampled diffusion weighted data using multiplexed sensitivity encoding. While the algorithm provides good results in cooperative volunteers, motion during the data acquisition is not accounted for. In this work, the continuous prospective motion correction of a segmented diffusion weighted acquisition is combined with multiplexed sensitivity encoding.

methodsSimulations investigate the influence of motion on the reconstruction. Additionally, the change in coil sensitivities due to patient motion is taken into consideration. Finally, in vivo experiments display the effects of motion and its prospective correction on high resolution diffusion weighted imaging.

resultsInconsistencies of the imaging plane lead to artifacts and blurring in the reconstructed dataset. Additionally, motion during the diffusion weighting period can lead to substantial image artifacts and signal dropouts. The change in coil sensitivities shows minor effect for the simulated range of motion (5°). Prospective motion correction is shown to improve image quality in the case of large motion (5°) and to reliably correct for small motion (1°).

conclusionThe combination of prospective motion correction and multiplexed sensitivity encoding allows for high resolution diffusion weighted imaging even in the presence of substantial head motion.

Indexed as

ArtifactsAdultAlgorithmsBrainDiffusion Magnetic Resonance ImagingEcho-Planar ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMotionReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-Assisteddiffusionmultiplexed sensitivity encodingprospective motion correctionreal-timesegmented echo planar imaging

Identifiers

PMID25446934
PMCPMC4451442

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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.