Evidence map›Paper›PMID 31363869›Full record

ArticleMagma (New York, N.Y.)2019

Inductive measurement and encoding of k-space trajectories in MR raw data.

Jan Ole Pedersen, Christian G Hanson, Rong Xue, Lars G Hanson

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Article in Magma (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Jan Ole PedersenDepartment of Health Technology, Center for Magnetic Resonance, Technical University of Denmark, Kongens Lyngby, Denmark.
Christian G Hanson, Køge, Denmark.
Rong XueState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Lars G HansonDepartment of Health Technology, Center for Magnetic Resonance, Technical University of Denmark, Kongens Lyngby, Denmark. lghan@dtu.dk.ORCID http://orcid.org/0000-0002-8204-6912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study was to concurrently acquire an inductive k-space trajectory measure and corresponding imaging data by an MR scanner. MATERIALS AND

methods1D gradient measures were obtained by digital integration, regularized using measured gradient coil currents and recorded individually by the scanner concurrently with raw MR data. Gradient measures were frequency modulated into an RF signal receivable by the scanner, yielding a k-space trajectory measure from the cumulative phase of the acquired data. Generation of the gradient measure and frequency modulation was performed by previously developed custom, versatile circuitry.

resultsFor a normal echo planar imaging (EPI) sequence, the acquired k-space trajectory measure yielded slightly improved image quality compared to that obtained from using the scanner's estimated eddy current-compensated k-space trajectory. For a spiral trajectory, the regularized inductive k-space trajectory measure lead to a 76% decrease in the root-mean-square error of the reconstructed image. DISCUSSION: While the proof-of-concept experiments show potential for further improvement, the feasibility of inductively measuring k-space trajectories and increasing the precision through regularization was demonstrated. The approach may offer an inexpensive method to acquire k-space trajectories concurrently with scanning.

Indexed as

Echo-Planar ImagingMagnetic Resonance ImagingAlgorithmsArtifactsCalibrationImage EnhancementImage Processing, Computer-AssistedModels, StatisticalPhantoms, ImagingReproducibility of ResultsSignal Processing, Computer-AssistedEncoding of signals in MRI raw dataGradient imperfectionsInductive measurement of k-space trajectoriesMagnetic resonance imagingRegularization by current measure

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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.