Evidence map›Paper›PMID 26140504›Full record

ArticleMagnetic resonance in medicine2016

Reverse retrospective motion correction.

Benjamin Zahneisen, Brian Keating, Aditya Singh, Michael Herbst, Thomas Ernst

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Baby brain atlases.NeuroImage · 2019
    Review
  6. Article
  7. Review
  8. TScientific data · 2017
    Article
  9. Motion correction in MRI of the brain.Physics in medicine and biology · 2016
    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

5 authors.

Benjamin ZahneisenUniversity of Hawaii, Department of Medicine, John A. Burns School of Medicine, Honolulu, Hawaii, USA.
Brian KeatingUniversity of Hawaii, Department of Medicine, John A. Burns School of Medicine, Honolulu, Hawaii, USA.
Aditya SinghUniversity of Hawaii, Department of Medicine, John A. Burns School of Medicine, Honolulu, Hawaii, USA.
Michael HerbstUniversity of Hawaii, Department of Medicine, John A. Burns School of Medicine, Honolulu, Hawaii, USA.
Thomas ErnstUniversity of Hawaii, Department of Medicine, John A. Burns School of Medicine, 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
Imaging Studies in Neurotoxicity and NeurodevelopmentU54NS056883 · NINDS · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2007 to 2011
$8.4M
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 K02 DA016991NIDA NIH HHS R01 DA021146NINDS NIH HHS U54 NS056883
6 · The paper itself

Abstract

purposeOne potential barrier for using prospective motion correction (PMC) in the clinic is the unpredictable nature of a scan because of the direct interference with the imaging sequence. We demonstrate that a second set of "de-corrected" images can be reconstructed from a scan with PMC that show how images would have appeared without PMC enabled. THEORY AND

methodsFor three-dimensional scans, the effects of PMC can be undone by performing a retrospective reconstruction based on the inverse of the transformation matrix used for real time gradient feedback. Retrospective reconstruction is performed using a generalized SENSE approach with continuous head motion monitored using a single-marker optical camera system.

resultsReverse retrospective reconstruction is demonstrated for phantom and in vivo scans using an magnetization-prepared rapid gradient echo (MPRAGE) sequence including parallel and Partial Fourier acceleration.

conclusionReverse retrospective reconstruction can almost perfectly undo the effects of prospective feedback, and thereby provide a second image data set with the effects of motion correction removed. In case of correct feedback, one can directly compare the quality of the corrected with that of the uncorrected scan. Additionally, because erroneous feedback during PMC may introduce artifacts, it is possible to eliminate artifacts in a corrupted scan by reversing the false gradient updates. Magn Reson Med 75:2341-2349, 2016. © 2015 Wiley Periodicals, Inc.

Indexed as

ArtifactsBrainHead MovementsHumansImaging, Three-DimensionalMagnetic Resonance ImagingPhantoms, ImagingReproducibility of Resultsoptical trackingprospective motion correctionretrospective motion correctiontracking errors

Identifiers

PMID26140504
PMCPMC4698368

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.